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		<updated>2013-11-15T20:28:45Z</updated>

		<summary type="html">&lt;p&gt;76.126.141.195: /* Orphaned Events */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;&amp;lt;!-- Note that this page uses transclusionContent between the &amp;quot;onlyinclude&amp;quot; tags below will be pushed to the main page --&amp;gt;&lt;br /&gt;
Official, Semi-Official, one-off and other events at the Noisebridge space.&lt;br /&gt;
&lt;br /&gt;
=Event Calendar=&lt;br /&gt;
Not all events make it onto this calendarMany events only make it to the Discussion or Announcements [[Mailinglist | mailing lists]], [[IRC]] or in person at [[:Category:Meeting_Notes | Tuesday meetings]]. Best of all, Noisebridge is about people getting together at the space in San Francisco to do stuff..like in person. Some events just happen. Pay attention!&lt;br /&gt;
&lt;br /&gt;
If you&#039;d like to host an event yourself, we recommend involving at least one Noisebridge member, and have advice on  [[Hosting_an_Event|hosting an event]] at Noisebridge.&lt;br /&gt;
&lt;br /&gt;
View the  [https://www.google.com/calendar/embed?src=1uesj915rces4cbmcr8j3sg8t0%40group.calendar.google.com&amp;amp;ctz=America/Los_Angeles Google Calendar].&lt;br /&gt;
&lt;br /&gt;
To post Google Calendar entries for your event or to gain access to do so for yourself, ask on the noisebridge-discuss mailing list.&lt;br /&gt;
&amp;lt;!-- Items inside this &amp;quot;onlyinclude&amp;quot; tag will be pushed to the main page --&amp;gt;&amp;lt;onlyinclude&amp;gt;&lt;br /&gt;
=== Upcoming Events &amp;lt;small&amp;gt;[https://www.noisebridge.net/index.php?title=Category:Events&amp;amp;action=edit&amp;amp;section=2 edit]&amp;lt;/small&amp;gt; ===&lt;br /&gt;
&amp;lt;!-- Please read our &amp;quot;Hosting an Event&amp;quot; page and possibly follow some of the guidelines there before posting your event herehttps://www.noisebridge.net/wiki/Hosting_an_Event --&amp;gt;&lt;br /&gt;
&amp;lt;!-- It&#039;s smart to add in a link to a wiki page with more information about your even, and a way to contact the event organizer(s)Thanks! --&amp;gt;&lt;br /&gt;
&lt;br /&gt;
*{{event&lt;br /&gt;
|time         = Saturday, November 23, 2.00 pm&lt;br /&gt;
|title        = www.OOTSIDEBOX.com making NOISE in California &lt;br /&gt;
|description  = Live demos, explainations about the technology, open discussions around &#039;&#039;&#039;Touchless 3D Gesture User Interface 7 Key concepts: Open source, Open hard-ware, Arduino, 3Dprinter, Android, Unity, Crowdfunding.&#039;&#039;&#039; takes place at the &#039;&#039;&#039;CHURCH CLASSROOM&#039;&#039;&#039;&lt;br /&gt;
|}}&lt;br /&gt;
*{{event&lt;br /&gt;
|time         = Saturday, November 30, 1.00 pm&lt;br /&gt;
|title        = Intro to Lock Picking &amp;amp; more with TOOOL SF&lt;br /&gt;
|description  = Join us to learn about basic lock picking, for a report from November&#039;s LockCon conference, and good company! Takes place at the &#039;&#039;&#039;CHURCH CLASSROOM&#039;&#039;&#039;&lt;br /&gt;
|}}&lt;br /&gt;
&lt;br /&gt;
=== Recurring Events &amp;lt;small&amp;gt;[https://www.noisebridge.net/index.php?title=Category:Events&amp;amp;action=edit&amp;amp;section=3 edit]&amp;lt;/small&amp;gt; ===&lt;br /&gt;
&amp;lt;!-- Please read our &amp;quot;Hosting an Event&amp;quot; page and possibly follow some of the guidelines there before posting your event herehttps://www.noisebridge.net/wiki/Hosting_an_Event --&amp;gt;&lt;br /&gt;
&amp;lt;!-- It&#039;s smart to add in a link to a wiki page with more information about your even, and a way to contact the event organizer(s)Thanks! --&amp;gt;&lt;br /&gt;
&amp;lt;!-- Large turnout events should be written in &#039;&#039;&#039;bold&#039;&#039;&#039;--&amp;gt;&lt;br /&gt;
&lt;br /&gt;
==== Monday ====&lt;br /&gt;
* &#039;&#039;&#039;19:30 - 22:00 [[Circuit Hacking Mondays]]&#039;&#039;&#039;&amp;amp;nbsp;&amp;amp;nbsp;&amp;lt;span style=&amp;quot;color:black&amp;quot;&amp;gt;(Early start of 3:00pm on Monday holidays.)&#039;&#039;&amp;lt;/span&amp;gt;&amp;lt;div style=&amp;quot;padding-left: 30px; max-width: 725px;&amp;quot;&amp;gt;- Learn to solder! And make cool things with electronics. [[User:maltman23|Mitch]], Rolf, [[User:Miloh|Miloh]], and others will bring kits to make cool, hackable things for all skill levels that you can bring home after you make them! Bring your own projects to hack! Bring things to fix! All ages. All welcome!&amp;lt;/div&amp;gt;&lt;br /&gt;
* &#039;&#039;&#039;19:00 - 22:00  [[Gamebridge|Gamebridge Unityversity]]&#039;&#039;&#039; Unity3D Game Development mentoring group is back now that [[Code Hero]] is in alpha.&lt;br /&gt;
&amp;lt;!-- 2013-02-02 * 19:00 [[Cook-in class]] Bring your ideas/food/appetite and try your hand at cooking--&amp;gt;&lt;br /&gt;
* &#039;&#039;&#039;20:00 - 22:00 [[Front-end Web Development]]&#039;&#039;&#039; - &#039;&#039;&#039;New series started 2013-11-11.&#039;&#039;&#039; Learn HTML/CSS/JS. We&#039;re covering the basics and then going in-depth on different topics every week. Recap of last week&#039;s material starts at &#039;&#039;&#039;19:30&#039;&#039;&#039;.&lt;br /&gt;
* &amp;lt;span style=&amp;quot;color:red&amp;quot;&amp;gt;[[House_Keeping#Trash_and_Recycling|Take Out the Trash Night]]&amp;lt;/span&amp;gt;&lt;br /&gt;
&lt;br /&gt;
==== Tuesday ====&lt;br /&gt;
* 15:00 - 17:00 [[Linux System Administration class]] meets in the Turing classroom. This is a change of format from the [[Linux System Administration Study Group]] An instructor presents a topic of Linux system administration. You can follow along if you bring your own Linux computer. Command-line skills are assumed. The focus is primarily on server systems, less on workstation problems.  &lt;br /&gt;
&amp;lt;!-- * &#039;&#039;&#039;18:00 [[Office Hours]]&#039;&#039;&#039; Have pressing questions about Noisebridge, or need help dealing with nonsense? Find [[user:flamsmark|Tom]] at the space or [https://foursquare.com/v/the-sycamore/4c253819c11dc9b634d82624 the Sycamore] for help before the meeting. --&amp;gt;&lt;br /&gt;
* 18:00 - 20:00 Wiki Hacking, learn how to use the Noisebridge wiki by creating your own user account and page, as well as editing content. Meet by the fire escape at the &amp;quot;Dream Station&amp;quot;. Hosted by [[User:Thex|J.C.]]&lt;br /&gt;
* 19:00 - 20:00 [https://noisebridge.net/wiki/Radio Noisebridge Radio] meeting somewhere in the space.&lt;br /&gt;
* 19:00 - 21:00 [[PyClass | Advanced Python]] Slaying the web with Python 2.7 &amp;amp; 3.3. Instructed by Liz and Kellan in Turing.&lt;br /&gt;
* 17:00 - 19:00 &#039;&#039;&#039;*ix&#039;&#039;&#039; [[Linux.BSD.UNIX Open Learning and Hacking]] Learning by doing in Linux/OpenBSD/FreeBSD/Unix/Others in Turing.&lt;br /&gt;
* &#039;&#039;&#039;19:00 - 21:00 [http://www.railsschool.org Ruby and Rails class]&#039;&#039;&#039; - Seminar and workshop for learning everything about Ruby, Rails, and web application development (Church classroom).&lt;br /&gt;
* &#039;&#039;&#039;19:30 - 21:00 [[Light Patterns with LEDs and Microcontrollers]]&#039;&#039;&#039; - Learn how to make light dance and do your bidding! We will make Arduino sketches to control multicolor LED pixels.&lt;br /&gt;
&amp;lt;!-- * 19:30 [[Spacebridge]] - Noisebridge&#039;s space program --&amp;gt;&lt;br /&gt;
&amp;lt;!-- * &#039;&#039;&#039;18:00 - 19:30 [[Rebase|Great Noisebridge Rebase of 2013!]]&#039;&#039;&#039; - Discussion and Proposal development regarding the ongoing Rebase initiative. Meet in the Hackitorium. --&amp;gt;&lt;br /&gt;
* &#039;&#039;&#039;20:00 [[Meetings|Noisebridge Weekly Meeting]]&#039;&#039;&#039; - Introducing new people and events to the space, general discussion, and decision making.&lt;br /&gt;
&lt;br /&gt;
==== Wednesday ====&lt;br /&gt;
&amp;lt;!-- On hiatus 2013-01-08 * 18:00 [[Replicator Wednesday|Replicator Wednesday]]! This event is on hiatus from Noisebridge until further notice.  New &amp;quot;series&amp;quot; starts January 9th! --&amp;gt;&lt;br /&gt;
* 16:00 - 18:00 Locks Sport. Picking, repining, etc. Try to bring your own picks. If not we will try to make some here. We will go on as long as people want to stick around.&lt;br /&gt;
* 18:00 - 20:00 [[Linux &amp;amp; BSDiscussion|Linux/BSDiscussion and Problem Solving]] - Linux/BSD meetup in the Turing classroom.&lt;br /&gt;
* 19:30 - 21:00 [[DreamTeam| Dream Team Neuro Hackery]] - EEG research &amp;amp; development project with general interest in sleep, dreaming, creative intelligence, and many loosely related topics such as: neurophysiology, signal processing, cognitive neuroscience, and (especially) hacking code and devices for data acquisition and analysis.  Join us at the [[CollaborationStation]] near the Hackatorium / 3D printing area.  (Discussion sometimes starts closer to 8 PM, usually shifting focus by 9 PM to more technical aspects of specific projects).  &lt;br /&gt;
* 19:00 - 21:00 [[PyClass]] - Intro to Python in Church Classroom. &#039;&#039;&#039;New series started 2013-10-02&#039;&#039;&#039;&lt;br /&gt;
* 19:30 - 22:00 [[BACE Timebank]] (1st Wednesdays every &#039;&#039;odd&#039;&#039; month) Next meeting on Wed Nov 6, 8pm - Help organize community mutual aid by trading in equal time credits. To find out more and join go to [http://sfbace.org sfbace.org].&lt;br /&gt;
&lt;br /&gt;
==== Thursday ====&lt;br /&gt;
* [[House_Keeping#Trash_and_Recycling|Trash Night]]  - Take out the trash for Friday morning!&lt;br /&gt;
* 18:30 [[Digital Archivists]] - Help build a book scanner for Noisebridge&lt;br /&gt;
* 19:00 [[Tastebridge]] / [[Vegan Hacker]] Monthly Food Hacking, last Thursday of every month, 7pm http://www.veganhackersf.com&lt;br /&gt;
* 19:00 - 22:00 [[3D Thursday]] Weekly meetup (non-3rd-thursdays) at Noisebridge focusing on 3D Printers, CNC machines, FabLabs, and replicating machines of all kinds.&lt;br /&gt;
&amp;lt;!-- * 19:00 [[german_corner|German Corner]] Learn and practice speaking German --&amp;gt;&lt;br /&gt;
&amp;lt;!-- on hiatus? 2013-01-08 * 19:00 [[wearable fashion techies]] first meeting Nov 1st --&amp;gt;&lt;br /&gt;
* &#039;&#039;&#039;19:00 - 21:00 [[Letter Lovers]]&#039;&#039;&#039; - Learn &amp;amp; create calligraphy, lettering, fonts, handwriting, and all things letters. &#039;&#039;&#039;Note: No class on Oct 31. (Happy Halloween!)&#039;&#039;&#039;&lt;br /&gt;
* 20:00 [[Front-end_Web_Development#Lab|Front-end Web Development Lab]] - Understand by doing! A recap of Monday&#039;s lecture in workshop form - and a good time for one-on-one help with the material.&lt;br /&gt;
* &#039;&#039;&#039;20:00 [[Five Minutes of Fame]]&#039;&#039;&#039; - lightning talks every 3rd Thursday of the month&lt;br /&gt;
&lt;br /&gt;
==== Friday ====&lt;br /&gt;
&lt;br /&gt;
* 16:00 - 22:00 [[FUN Tutoring]] @ [[CollaborationStation]]&lt;br /&gt;
&lt;br /&gt;
==== Saturday ====&lt;br /&gt;
&amp;lt;!-- 2013-02-02 * 18:30-20:30 Beginner [[French]] - Learn basic grammar and sentence structure. Classes meet in the Turing room --&amp;gt;&lt;br /&gt;
* 10:15 - 12:10 [[Juggling with Judy!]] Note: next class is scheduled for Saturday June 29th.  Attention juggling fans!  Judy will be at the 2013 World Juggling Day celebration Saturday June 15th at Ripley&#039;s Believe It Or Not Odditorium in San Francisco Fisherman&#039;s Warf - free event begins at 1.  Come check it out!  &lt;br /&gt;
* 12:00 - 18:00 &#039;&#039;&#039;[[modular|Modular and Analog Synth Workshop]]&#039;&#039;&#039; NEXT WORKSHOP TBA Learn the basics of analog synthesis on a modular synth with Douglas. we will meet in the church.&lt;br /&gt;
&lt;br /&gt;
==== Sunday ====&lt;br /&gt;
* 12:30 - 19:30 [[Dungeons and Dragons]] in Church, not currently looking for new players.&lt;br /&gt;
* 13:00 Lock Sport Collaboration: Come learn how to pick locks with the [http://www.tooolsf.org/ SF Bay Area chapter] of [http://toool.us/ TOOOL]. Sometimes at Noisebridge. Check the [http://www.tooolsf.org/meeting-announcements/ TOOOLSF announcements page] for details. &lt;br /&gt;
&amp;lt;!-- on hiatus, according to Mik: * 14:00 - 22:00 [[World of Darkness]] Looking to run a biweekly game at Noisebridge. Talk with Melissa if interested --&amp;gt;&lt;br /&gt;
* 14:00 [[BAHA]] - [http://baha.bitrot.info Bay Area Hacker&#039;s Association] - security meeting (2nd Sundays only)&lt;br /&gt;
* 15:00 [[Go]] - Playing of the Go board game. On nice days we often take the boards to Dolores Park and play there.&lt;br /&gt;
*16:00 [[Elements_of_Image_Making]] Bi-Weekly Analogue and DIY film making meetup/hangout/nerdout&lt;br /&gt;
* 18:00 [[Plan 9]] class &lt;br /&gt;
&lt;br /&gt;
&amp;lt;/onlyinclude&amp;gt;&lt;br /&gt;
&lt;br /&gt;
=== Orphaned Events ===&lt;br /&gt;
These events appear to be dormant or extinct.&lt;br /&gt;
&lt;br /&gt;
* WED 20:00 - 22:00 [https://www.noisebridge.net/mailman/listinfo/zine ZinesFromOuterSpace] - A biweekly (once every 2 weeks or twice a month) meetup for zinesters / printing hackers / DIY publishers, and brainstorming session for the next chapter of [[zine | ZiP]]. Next meeting is 1/30/13, followed by another in mid-Feb (TBA).&lt;br /&gt;
* THU 18:00 - 21:00 &#039;&#039;&#039;[[Privacy Bay]]&#039;&#039;&#039; - A monthly meetup for Bay Area folks interested in privacy. Meets in Church on the last Thursday of the month.&lt;br /&gt;
* FRI 19:00 - 21:00 [[Anarchy_101|Anarchy 101]] - a class/seminar on what anarchy is and is not, and how it impacts us as individuals and as discrete groups.&lt;br /&gt;
* SUN 13:00 [[Songbridge]]: (Bi-monthly) Learn how to make and record music with a computerWe cover midi and vst as well as multi-track recordingBring your laptop.&lt;br /&gt;
* 20:00 - 22:00 [[Noise~_Wednesday | Noise~ Wed]] - Graphical media programming with Max/MSP/Jitter&lt;br /&gt;
&lt;br /&gt;
 *19:00 [[Tahoe-LAFS]] - Occasional meetup of users and/or developers of the Least Authority File System.&lt;br /&gt;
&lt;br /&gt;
* 14:00 - 16:00 Android Developer Support Group - Meet up with other app developers in the library for a lightly structured knowledge-share.&lt;br /&gt;
&lt;br /&gt;
=== Proposed Future Events and Classes ===&lt;br /&gt;
:&#039;&#039;&#039;(TBD)&#039;&#039;&#039;: [[Sound Science]] A potential monthly lecture/demonstration series on the little known science behind sound reproductionTopics to include: Transducer Physics(speakers and mics), Room Acoustics, Signal Path and Cabling,Loudspeaker design 101, Music Production Tips for Big Sound, and How to make a small system sound HUGEEach session to include hands on projects like making speakers from stuff lying around, Non-Newtonian bass monsters, and ez speaker mods for anyoneIf interested contact the new guy-&amp;gt; MattLong8 at gmail dot com, 805 four five three - six zero nine seven &lt;br /&gt;
:&#039;&#039;&#039;(TBD)&#039;&#039;&#039;: [[Modular Synthesis]] a bi-weekly (or monthly) group devoted to modular synthesizers&amp;gt; workshop will include modular sound synthesis styles and techniques, a study of different modules and their functions, ie voltage controlled oscillator, voltage controlled filter, low frequency oscillator, envelope generator ect and how these modules interact with each other, what control voltage and triggers are..... as well as one on one time for each student with the modular, which is a 60 space large format Moog style modular synthesizer with big knobs and 1/4 jacks   including performance and other awesomeness by Douglas. contact Douglas at greenshoos at gmail dotcom&lt;br /&gt;
:&#039;&#039;&#039;(TBD)&#039;&#039;&#039;: [[VideoHacking]] a weekly video/video art devoted hacker group, including experiments in the 3D vr realm...if interested contact julialc4@gmail.com&lt;br /&gt;
:Wednesdays at 21:00 [[Brewing Bridge]] - Malakkar Proposal: Learn how to make your drinks fun AND antibacterial, using yeastThis will be recurring if enough interest or need is presentAssociated items - what to do with brewing leftovers, and brewers sample hour, etc.&lt;br /&gt;
:&#039;&#039;&#039;(TBD)&#039;&#039;&#039;: [[Fie: Failure is Eminent]] - [[User:MedianMajik|James]] wants to start a System Recovery class that will meet either bi-monthly or weekly for a couple hours to try various backup and recovery methods on drives and data.&lt;br /&gt;
:&#039;&#039;&#039;(TBD)&#039;&#039;&#039;: [[101 Introduction to Linux]] - [[User:MedianMajik|James]] wants to start a 101 Introduction to Linux class where people can ask whatever questions they want and get them answered in 60 to 90 minutes Church would be the optimal location Looking for teachers.&lt;br /&gt;
:&#039;&#039;&#039;(TBD)&#039;&#039;&#039;: [[Probability]] - Weekly probability study group based on [http://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-041-probabilistic-systems-analysis-and-applied-probability-spring-2006/related-resources/ Fundamentals of Applied Probability Theory] by Al Drake&lt;br /&gt;
:&#039;&#039;&#039;(TBD)&#039;&#039;&#039;: [[Mandarin Corner|Mandarin]] - Learn or practice Mandarin, all levels. Also currently on hiatus. Get on the mailing list.&lt;br /&gt;
:&#039;&#039;&#039;(TBD)&#039;&#039;&#039;: [[Movie Night!]] - [[User:ThOMG|Thom]] wants to build community through nerdy sci-fi! (+Bill+Ted+Excellence++) (how about a Friday hacker movie night? -[[User:Carl|Carl]])&lt;br /&gt;
:&#039;&#039;&#039;(TBD)&#039;&#039;&#039;: [[Introduction to the AVR Microcontroller]] - [[User:Mightyohm|Jeff]] and [[User:Maltman23|Mitch]] are planning an introductory class for people wanting to make cool projects with AVRs.&lt;br /&gt;
:&#039;&#039;&#039;(TBD)&#039;&#039;&#039;: [[Basic Chemistry Lab Techniques]]&lt;br /&gt;
:&#039;&#039;&#039;(TBD)&#039;&#039;&#039;: [[Cuddle Puddle for the Economy]] - Stress-hacking with informal massage exchange.&lt;br /&gt;
:&#039;&#039;&#039;(TBD)&#039;&#039;&#039;: [[Milk and Cookies]] - Come read your favorite selections out loudWith Milk and Cookies (and yeah, probably beer too).&lt;br /&gt;
:&#039;&#039;&#039;(TBD)&#039;&#039;&#039;: [[Processing Workshop 2]] - [[User:Scmurray|Scott]] is interested in teaching this, and is busy thinking about what, where, when, why, and how.&lt;br /&gt;
:&#039;&#039;&#039;(TBD)&#039;&#039;&#039;:  [[Hack your Hardware]] -- We call BS on &amp;quot;no user-serviceable parts inside&amp;quot;&lt;br /&gt;
:&#039;&#039;&#039;(TBD)&#039;&#039;&#039;: [[Homebrew Instruction Class]] - The Wort (pt 1/3)&lt;br /&gt;
:&#039;&#039;&#039;(TBD)&#039;&#039;&#039;: [[Trip to Shooting Range]] - Field trip to a shooting range, to shoot guns Express interest at [[Trip to Shooting Range]]&lt;br /&gt;
:&#039;&#039;&#039;(TBD)&#039;&#039;&#039;: [[Surface Mount Soldering Workshop]] - Learn how to solder cicuits with small surface mount parts [[User:maltman23|Mitch Altman]] and Martin Bogomolni and others will show their tricks [[User:maltman23|Mitch]] will bring hackable kits that uses surface mounts for you to solder&amp;lt;-YES!(mattlong8 at gmail dot com)&lt;br /&gt;
:&#039;&#039;&#039;(TBD)&#039;&#039;&#039; - [[Locksport and Lockpicking]]&lt;br /&gt;
:&#039;&#039;&#039;(TBD)&#039;&#039;&#039; - [[Version control tutorial]]&lt;br /&gt;
:&#039;&#039;&#039;(TBD)&#039;&#039;&#039; - [[Foreign language learning for rocket scientists]] - I&#039;m near-native (fool people when I try) in (French and) Japanese, and a pro trans/terpreter and will share my shortcuts (skill-order, vocab, speed/articulation, translation≅grammar)No expertise on tonal languages yet..so if you know how to remember tones or how tone-sandhi interacts with speed and/or how nuances of speaker attitude are expressed in them (what we do with rythm/inflection/sentence-intonation and stress in Eng., and with particles and ??? in e.gCantonese) please chime in or call me (415-608-0564) so I can convey your wisdom[also looking for a from-scratch Arabic partner]&lt;br /&gt;
:&#039;&#039;&#039;(TBD)&#039;&#039;&#039;: [[Getting started with Arduino]]&lt;br /&gt;
:&#039;&#039;&#039;(TBD)&#039;&#039;&#039;: [[Distributed Databases]]&lt;br /&gt;
:&#039;&#039;&#039;(TBD)&#039;&#039;&#039;: [[Node.js Beginners Session]] - Interested in learning about Node.js? I amMaybe these guys want to teach it: http://www.meetup.com/Joyent-Cloud-User-Group/events/81311542/&lt;br /&gt;
&lt;br /&gt;
:&#039;&#039;&#039;(TBD)&#039;&#039;&#039;: [[Scrum Club]] - I though I&#039;d test the waters and see if anyone was interested in a noisebridge scrum club details are here http://scrumclub.org/scrum-clubs/ if inturested hit me up twitter: @theabcasian, facebook: http://www.facebook.com/theabcasian&lt;br /&gt;
:&#039;&#039;&#039;(TBD)&#039;&#039;&#039;: [[CNC Mill Workshop]] - Who wants to make stuff on the [[MaxNCMill]]?&lt;br /&gt;
:&#039;&#039;&#039;(TBD)&#039;&#039;&#039;: [[Math &amp;amp; Science Help]] - If you would like some math, science or engineering help, I&#039;m down to lend a hand.&lt;br /&gt;
:&#039;&#039;&#039;(TBD)&#039;&#039;&#039;: [[Cyborg Group|Cyborg Group / Sensebridge]] - Work on projects like artificial senses Someone needs to lead this!&lt;br /&gt;
:&#039;&#039;&#039;(TBD)&#039;&#039;&#039;: [[OpenEEG]] - Brain techHas historically met on Sundays, at the behest of interested parties.&lt;br /&gt;
:&#039;&#039;&#039;(TBD)&#039;&#039;&#039;: [[Programming_for_Poets | Programming for Poets]] -  Gentle intro to programming using Processing&lt;br /&gt;
:&#039;&#039;&#039;(TBD)&#039;&#039;&#039;: [[World Builders &amp;amp; Simgineers]] -  Work together to create a beautiful &amp;amp; open virtual world &amp;amp; platform.&lt;br /&gt;
:&#039;&#039;&#039;(TBD)&#039;&#039;&#039;: [[PlunderBridge]] -  Metal detecting, detector technology &amp;amp; treasure hunting expeditions.&lt;br /&gt;
:&#039;&#039;&#039;(TBD)&#039;&#039;&#039;: [[Ruby Mining]] -  Ruby on Rails basics, interactive working group&lt;br /&gt;
:&#039;&#039;&#039;(TBD)&#039;&#039;&#039;: [[MoinMoin Wiki]] -  MoinMoin Wiki (details see there)&lt;br /&gt;
:&#039;&#039;&#039;(TBD)&#039;&#039;&#039;: [[Noisebridge Fundraiser 2013]]&lt;br /&gt;
&lt;br /&gt;
= Past Events =&lt;br /&gt;
&lt;br /&gt;
===2013===&lt;br /&gt;
*{{event&lt;br /&gt;
|time         = Friday, August 9, 5:00pm&lt;br /&gt;
|title        = Noisebridge Party Setup&lt;br /&gt;
|description  = Volunteers will be preparing the space for Saturday&#039;s show.  There are no scheduled conflicts; you might be asked to move multiple times by someone pushing a broom and assembling a raised stage simultaneously.&lt;br /&gt;
|}}&lt;br /&gt;
&lt;br /&gt;
*{{event&lt;br /&gt;
|time         = Saturday, August 10, 4:00pm&lt;br /&gt;
|title        = Noisebridge &amp;quot;______ the Bridge&amp;quot; Party&lt;br /&gt;
|description  =  &amp;lt;span style=&amp;quot;color:#ff00ff; background:##ff00ff&amp;quot;&amp;gt; a summer fundraising party for Noisebridge, which YOU are invited to!&amp;lt;/span&amp;gt;&lt;br /&gt;
|suggested donation = $10, but no one turned away for lack of funds&lt;br /&gt;
|}}&lt;br /&gt;
&lt;br /&gt;
*{{event&lt;br /&gt;
|time         = Sunday, August 11, 2:00pm&lt;br /&gt;
|title        = Bay Area Hackers&#039; Association Meeting&lt;br /&gt;
|description  = Jon Callas presenting on [[BAHA/2013-08-11|Secure Communications, Privacy, Counter-Surveillance]].&lt;br /&gt;
|}}&lt;br /&gt;
&lt;br /&gt;
* &#039;&#039;&#039;Wednesday, May 22, 7.00 pm: Instructables Build Night&#039;&#039;&#039; - Bare Conductive, Instructables will supply Bare Conductive paint pens and pizza. Come experiment with the paint and post some Instructables. This is a FREE event.&lt;br /&gt;
&lt;br /&gt;
===2012===&lt;br /&gt;
* &#039;&#039;&#039;December 20, Thursday, 20:00 - 22:00 - [[5MoF|5 Minutes of Fame]]&#039;&#039;&#039; - Following up on its triumphant return in November, 5MoF is back with another showcase of lightning talks &amp;amp; other good stuff, with your host Sir Danny O&#039;Brien! Details TBA&lt;br /&gt;
*&#039;&#039;&#039;Tuesday Feb14th, 18:00 to 20:00&#039;&#039;&#039; ZiP MegaZine releases its inaugural issue with &#039;&#039;&#039;My Noisy Valentine&#039;&#039;&#039; Zine Release Microparty in the Noisebridge cafeFor more info follow [[zine | this]] link.&lt;br /&gt;
* &#039;&#039;&#039;Wednesday, Jan30, 20:00-22:00&#039;&#039;&#039; [[zine|ZiP]] meeting for zine-makers &amp;amp; others with an interest in printing &amp;amp; self-publishingThe meeting 1/30/13 is our first since mid-2012We plan to hold them regularly from now on at this time (Wednesday 8pm)This meeting will be informal &amp;amp; will probably take place in the printing/lasercutter area of the hackerspace.&lt;br /&gt;
&lt;br /&gt;
===2011===&lt;br /&gt;
&lt;br /&gt;
* &#039;&#039;&#039;September 11th 14:00 to 17:00&#039;&#039;&#039; - The San Francisco Chapter of the Open Organisation Of Lockpickers and Bay Area Hacker&#039;s Association present a joint meeting on [https://secure.wikimedia.org/wikipedia/en/wiki/Locksport locksport]&lt;br /&gt;
*&#039;&#039;&#039;August 4, 7PM, Thursday&#039;&#039;&#039; - [http://zeidman.net Bob Zeidman] will be giving a talk on video games and intellectual property, hosted by TheMADEHe will also speak about IP infringement cases.&lt;br /&gt;
*&#039;&#039;&#039;August 9, 6:30PM, Tuesday&#039;&#039;&#039; - [http://www.meetup.com/makesf/events/26413241/ Make:SF] - Chris Jefferies will speak about the wireless sensor kit he is developing and we are bringing back our all star soldering kits.&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
* &#039;&#039;&#039;April 13th, 19:00&#039;&#039;&#039; - Kombucha fermentation class with [[BioBridge]] &lt;br /&gt;
*&#039;&#039;&#039;April 7th, 20:00&#039;&#039;&#039; - [[In-Depth|Noisebridge: In-Depth]] Our monthly lecture and round tableThis month&#039;s speaker will be Aragorn! his lecture will be &amp;quot;Anarchism &amp;amp; technology: An unbridgeable chasm&amp;quot;&lt;br /&gt;
*&#039;&#039;&#039;April 4th, 20:00&#039;&#039;&#039; - Camp KDE PartyCome and meet part of the KDE North America community and get a quick overview of this year&#039;s [http://camp.kde.org/ Camp KDE] conferenceThere will be beer&lt;br /&gt;
*&#039;&#039;&#039;April 3rd, 16:00&#039;&#039;&#039; - NoiseCaching: Meet-up to build some geocaches, and talk about making geocoinsThen we&#039;ll head out to find some local caches and place caches we made[http://www.geocaching.com More info about Geocaching here]&lt;br /&gt;
* &#039;&#039;&#039;March 20th, 19:00&#039;&#039;&#039; [[Hack Politics]] meetup -- the first meetup to figure out how we in the hacker community can effectively mobilize and create meaningful change in these interesting times&lt;br /&gt;
* &#039;&#039;&#039;March 12th, 12:00-18:00 - Noisebridge Hackathon!&#039;&#039;&#039; Second Saturday Hackathon is a casual monthly event dedicated to working on the space or relevant projects and building community This is a great time to get feedback or help on any projects you have been considering that center around the space, culture, and infrastructure of Noisebridge You can also help with existing projects and find out ways to get involved.&lt;br /&gt;
* &#039;&#039;&#039;March 10, Thursday, 19:00 - Group Grammar Clinic&#039;&#039;&#039; - Church Classroom - Donations gladly accepted - A clinic for grammar and writing evaluationPlease bring your web/social or technical writing for us to evaluateBring your laptop as well Collaboration groupware possibly provided(Please suggest groupware software to use if you wish)Constructive feedback from other group members is encouraged so that this clinic is a group process- Facilitator: [[User:Owen|Owen]] (opietro@yahoo.com)&lt;br /&gt;
* &#039;&#039;&#039;March 9th, 20:00&#039;&#039;&#039; - Ferment and filter a mash! [[fermentation logs]]&lt;br /&gt;
&lt;br /&gt;
===2010===&lt;br /&gt;
* &#039;&#039;&#039;Sunday, August 22, 19:00 CLUB-MATE DROPOFF AND TASTING PARTY&#039;&#039;&#039; Nick Farr will be in town to drop off Club-Mate ordered by San Franciscans!&lt;br /&gt;
* &#039;&#039;&#039;June 5th, 12:00-19:00 - [[NoiseBridgeRehab]]&#039;&#039;&#039; - Help make the space more usable and accessible! Noisebridge needs your help!&lt;br /&gt;
* &#039;&#039;&#039;June 5th, 16:00-20:00 - [[Science For Juggalos]]&#039;&#039;&#039; - Science Fair in front of the Warfield Theater teaching magnetism to Juggalos&lt;br /&gt;
* &#039;&#039;&#039;June 6th, 15:00 - [[AVC Meetup]]&#039;&#039;&#039; - Entrepreneurial bonding &amp;amp; matchmaking&lt;br /&gt;
* &#039;&#039;&#039;June 9th, 21:00 - Your liver supports Noisebridge&#039;&#039;&#039; - Come to Elixir @ 16th &amp;amp; Guerrero anytime after 21:00 and drink, drink, drink! 50% of tips go to Noisebridge&lt;br /&gt;
* &#039;&#039;&#039;February 27th, 20:00 - [[Hacker EPROM]]&#039;&#039;&#039; - Noisebridge&#039;s first prom! Nice tie and a (robot) date requiredWe will have a DJ and punch.&lt;br /&gt;
* &#039;&#039;&#039;February 24th, 19:00, Wednesday - Joris Peels, of [http://www.shapeways.com Shapeways]&#039;&#039;&#039;, and expert on 3D printing, will give a [[ShaperwaysPresentation | talk and demonstration]] at Noisebridge!.&lt;br /&gt;
* &#039;&#039;&#039;February 23rd, 18:00 - Cleaning day&#039;&#039;&#039; - Come and help clean Noisebridge, because everyone loves a clean hack space.&lt;br /&gt;
* &#039;&#039;&#039;February 12th, 21:00 - visit from Steve Jackson&#039;&#039;&#039;Game designer [http://en.wikipedia.org/wiki/Steve_Jackson_%28US_game_designer%29 Steve Jackson], founder of Steve Jackson Games, will visit Noisebridge.&lt;br /&gt;
* &#039;&#039;&#039;January 27th, 18:00-20:00 - [[beatrixjar event|Circuit Bending Workshop]]&#039;&#039;&#039; - [http://www.beatrixjar.com/ Beatrix*JAR] (contact [[User:Gpvillamil|Gian Pablo]] for more info)&lt;br /&gt;
* &#039;&#039;&#039;January 27th, 20:00-22:00 - [[beatrixjar event|Circuit Bending Performance]]&#039;&#039;&#039; - [http://www.beatrixjar.com/ Beatrix*JAR] - &amp;quot;Celebrate a night of new sound that will change your idea of music forever!&amp;quot;&lt;br /&gt;
* &#039;&#039;&#039;January 25th, 19:30 - [[Bag Porn]]&#039;&#039;&#039; - What&#039;s in your bag?&lt;br /&gt;
* &#039;&#039;&#039;January 20th, 19:00-21:00 - [http://groups.google.com/group/bacat/about Bay Categories &amp;amp; Types]&#039;&#039;&#039; - Categories, monoids, monads, functors and more! Held in the Alonzo Church classroom.&lt;br /&gt;
* &#039;&#039;&#039;January 20th, 19:00 - [[User Experience Book Club SF]]&#039;&#039;&#039; - Our book this month is &amp;quot;A Theory of Fun for Game Design&amp;quot; by Raph Koster - http://is.gd/6sEqw (meets in Turing)&lt;br /&gt;
* &#039;&#039;&#039;January 21st, 20:00 - [[Five Minutes of Fame]]&#039;&#039;&#039; - Monthly set of lightning talks on diverse topics&lt;br /&gt;
* &#039;&#039;&#039;January 22nd, 17:00 - [[CleaningParty| Cleaning Party]]&#039;&#039;&#039; - Come help clean up Noisebridge! Awsum fun!&lt;br /&gt;
* ...January 14th,16th, and 17th 1:00- ??? Build Out day for kitchen/bathroom/laundry bring yourself and a good attitude, learn a few things as well&lt;br /&gt;
* &#039;&#039;&#039;January 15th, 18:00 - [[CNC_Mill_Workshop]]&#039;&#039;&#039; - Learn to use the CNC mill for 2D engraving and circuit board routing&lt;br /&gt;
* Thursdays 17:00 [[ASL Group|American Sign Language]] - Learn how to talk without using your voice (or just come chat in ASL)&amp;lt;small&amp;gt;[http://whenisgood.net/noisebridge/asl/generic click to reschedule]&amp;lt;/small&amp;gt;&lt;br /&gt;
&lt;br /&gt;
===2009===&lt;br /&gt;
* &#039;&#039;&#039;November 18th, 19:30&#039;&#039;&#039; - [[Dorkbot_2009_11_18|Dorkbot]]&lt;br /&gt;
* &#039;&#039;&#039;November 19th, 18:00&#039;&#039;&#039; - [[Mesh meetup]]&lt;br /&gt;
* &#039;&#039;&#039;November 19th, 20:00&#039;&#039;&#039; - [[Five Minutes of Fame]]&lt;br /&gt;
* &#039;&#039;&#039;November 20th, 18:00&#039;&#039;&#039; - Loud Objects [http://www.flickr.com/photos/createdigitalmedia/3428249036/ Noise Toy workshop].&lt;br /&gt;
* &#039;&#039;&#039;November 20th, 20:00&#039;&#039;&#039; - Performance by [http://www.loudobjects.com/ Loud Objects], (featuring Tristan Perich and Lesley Flanigan) and [http://www.myspace.com/jibkidder Jib Kidder].&lt;br /&gt;
:&#039;&#039;&#039;2009-11-05&#039;&#039;&#039; - [http://www.server-sky.com/ Server Sky presentation: Internet and Computation in Orbit] by Keith Lofstrom&lt;br /&gt;
:&#039;&#039;&#039;2009-11-05&#039;&#039;&#039; - [[Mesh meetup]]&lt;br /&gt;
:&#039;&#039;&#039;2009-11-02&#039;&#039;&#039; - [[French]] book club meeting to discuss  [http://www.amazon.com/exec/obidos/tg/detail/-/2842612892/ref=ord_cart_shr?_encoding=UTF8&amp;amp;m=ATVPDKIKX0DER&amp;amp;v=glance Une Si Longue Lettre]&lt;br /&gt;
: &#039;&#039;&#039; October 1st, 18:00&#039;&#039;&#039; - [[Wireless_Mesh_Network_Meetup | Mesh wireless meetup]]&lt;br /&gt;
: &#039;&#039;&#039; October 1st, 19:00&#039;&#039;&#039; - [http://groups.google.com/group/bacat Bay Area Categories and Types]&lt;br /&gt;
: &#039;&#039;&#039;2009-10-03&#039;&#039;&#039; [[Year 1 Open Hacker House]]&lt;br /&gt;
:&#039;&#039;&#039;Friday&#039;&#039;&#039;: [[CrazyCryptoNight]] - Discussion of cryptography for beginners through experts6-???&lt;br /&gt;
:&#039;&#039;&#039;Sunday&#039;&#039;&#039; : [[OpenEEG | OpenEEG Hacking]] Sundays, at 3-5pm.&lt;br /&gt;
:&#039;&#039;&#039;Monday&#039;&#039;&#039;: [[German]] - Learn German, all levels7pm beginners, 8pm advancedRSVP 24 hours in advance for the benefit of the instructorEvents ran May-November 2009Currently on Thursdays at 8Get on the mailing list.&lt;br /&gt;
:&#039;&#039;&#039;Tuesday&#039;&#039;&#039;: [[Haskell/Haschool]] - Learn Haskell with Jason Dusek 6PM - 7:30PM, from May until we&#039;re all experts.&lt;br /&gt;
:&#039;&#039;&#039;Wednesday&#039;&#039;&#039;: [[Adobe_Lightroom|Adobe Lightroom]] - Become a more organized photographerWeekly class (mostly held off site).&lt;br /&gt;
:&#039;&#039;&#039;Thursday&#039;&#039;&#039;: [[Professional VFX Compositing With Adobe After Effects]] - Taught by [[User:SFSlim|Aaron Muszalski]]7:30PM - 10PM, most Thursdays in May &amp;amp; June &amp;amp; ? (click through dammit)&lt;br /&gt;
:&#039;&#039;&#039;2009-09-17&#039;&#039;&#039;: [[Five Minutes of Fame]] 3D Edition&lt;br /&gt;
:&#039;&#039;&#039;2009-09-17&#039;&#039;&#039;: [[Wireless Mesh Network Meetup | Mesh wireless meetup]]&lt;br /&gt;
:&#039;&#039;&#039;2009-08-20&#039;&#039;&#039;: [[Five Minutes of Fame]] One Dee Edition&lt;br /&gt;
:&#039;&#039;&#039;2009-07-16&#039;&#039;&#039;: [[Five Minutes of Fame]] Zero Dee&lt;br /&gt;
:&#039;&#039;&#039;2009-07-02 - 2009-07-05&#039;&#039;&#039;: [http://toorcamp.org Toorcamp]&lt;br /&gt;
:&#039;&#039;&#039;2009-07-01&#039;&#039;&#039;: Noisedroid meeting to discuss location logging on Android platform (and other stuff too, I&#039;m sure)&lt;br /&gt;
:&#039;&#039;&#039;2009-06-30&#039;&#039;&#039;: [[Powerbocking Class|Powerbocking class]]&lt;br /&gt;
:&#039;&#039;&#039;2009-06-30&#039;&#039;&#039;: &amp;quot;Suing Telemarketers for Fun and Profit&amp;quot; (Toorcamp talk preview)&lt;br /&gt;
:&#039;&#039;&#039;2009-06-28&#039;&#039;&#039;: &amp;quot;Meditation for Hackers&amp;quot; (Toorcamp workshop preview)&lt;br /&gt;
:&#039;&#039;&#039;2009-06-18&#039;&#039;&#039;: [[Five Minutes of Fame]]&lt;br /&gt;
:&#039;&#039;&#039;2009-06-15&#039;&#039;&#039;: [[Eagle Workshop]]  Session two of the Eagle CAD workshop.&lt;br /&gt;
:&#039;&#039;&#039;2009-06-13&#039;&#039;&#039;: [[RoboGames 2009]] Noisebridge had a booth staffed by vounteers, great fun!&lt;br /&gt;
:&#039;&#039;&#039;2009-05-21&#039;&#039;&#039;: [[Five Minutes of Fame]]&lt;br /&gt;
:&#039;&#039;&#039;2009-04-27&#039;&#039;&#039;: [[EagleCAD workshop]] -- learn to use this CAD tool for printed circuit board design&lt;br /&gt;
:&#039;&#039;&#039;2009-04-16&#039;&#039;&#039;: [[Five Minutes of Fame]] April showers &amp;amp; flowers edition&lt;br /&gt;
:&#039;&#039;&#039;2009-04-11&#039;&#039;&#039;: [[RFID Hacking]] weekend workshop  (this event moved from the original March date)&lt;br /&gt;
:&#039;&#039;&#039;2009-04-05&#039;&#039;&#039;: [[First aid and CPR class]] Learning how to not only not die, but also reduce scarring!&lt;br /&gt;
:&#039;&#039;&#039;2009-04-03&#039;&#039;&#039;: [[Sudo pop]] 2PM and onMaking the first batch of a Noisebridge label yerba mate-niated rootbrew, gratis and DIY&lt;br /&gt;
:&#039;&#039;&#039;2009-03-26&#039;&#039;&#039;: [[OpenEEG | OpenEEG Hacking]] first meet up for this new group: 8 pm&lt;br /&gt;
:&#039;&#039;&#039;2009-03-19&#039;&#039;&#039;: [[Five Minutes of Fame]]&lt;br /&gt;
:&#039;&#039;&#039;2009-03-12&#039;&#039;&#039;: [[OpenBTS and GSM]] talk by David Burgess&lt;br /&gt;
:&#039;&#039;&#039;2009-02-14&#039;&#039;&#039;: [[Open Heart Workshop]] Valentine&#039;s Day blinkyheart soldering party! &lt;br /&gt;
:&#039;&#039;&#039;2009-02-13&#039;&#039;&#039;: [[Time-t_Party|&amp;lt;tt&amp;gt;time_t&amp;lt;/tt&amp;gt; Party]] to celebrate 1,234,567,890 since the Unix epoch.&lt;br /&gt;
:&#039;&#039;&#039;2009-02-09&#039;&#039;&#039;: [[Spanish learning at 8:30]]&lt;br /&gt;
:&#039;&#039;&#039;2009-02-05&#039;&#039;&#039;: [[PGP Key Workshop]]&lt;br /&gt;
:&#039;&#039;&#039;2009-01-31&#039;&#039;&#039;: [[Locksport and Lockpicking]]&lt;br /&gt;
&lt;br /&gt;
===2008===&lt;br /&gt;
:&#039;&#039;&#039;2008-12-27&#039;&#039;&#039;: [[25C3]] Chaos Computer Congress in Berlin&lt;br /&gt;
:&#039;&#039;&#039;2008-12-20 &amp;amp; 21&#039;&#039;&#039;: [[Creme Brulee]] Workshop on creating a french dessert, with bonus propane torch.&lt;br /&gt;
:&#039;&#039;&#039;2008-12-17 20:00&#039;&#039;&#039;: [[Machine Learning]] Birds-of-a-feather&lt;br /&gt;
:&#039;&#039;&#039;2008-11-24&#039;&#039;&#039;: [[Circuit Hacking Monday]] circuit design workshop&lt;br /&gt;
:&#039;&#039;&#039;2008-11-21, 7pm&#039;&#039;&#039;:[[Milk and Cookies]] -- [[User:Dmolnar|David Molnar]] hosts Milk and Cookies at 83CBring a short 5-7minute thing to read to othersBring a potluck cookie/snack/drink if you likeDavid will bring milk and cookies.&lt;br /&gt;
:&#039;&#039;&#039;2008-11-17, 7:30pm&#039;&#039;&#039;: [[Basic Bicycle Maintain]] - [[User:rubin110|Rubin]] and [[User:rigel|rigel]] hate it when we see a bike that isn&#039;t maintainedScreechy chains and clacking derailleur can go to hellBasic bike tune up, sharing the smarts on simple things you can do at home to make your ride suck a whole lot less.&lt;br /&gt;
:&#039;&#039;&#039;2008-11-16, 5:00pm&#039;&#039;&#039;: [[RepRap Soldering Party]] - help assemble RepRap!  RSVPs required on wiki! [[User:Adi|adi]]&lt;br /&gt;
:&#039;&#039;&#039;2008-11-16, 3:00pm&#039;&#039;&#039;: [[Oscilloscopes]] - Learn how to use this versatile tool to test electronic circuits Maximum 6 slots, please sign up ahead of time! [[User:dstaff|dstaff]]&lt;br /&gt;
:&#039;&#039;&#039;2008-10-31&#039;&#039;&#039;: [[Halloween Open House]] - NoiseBridge&#039;s own [[PPPC]] threw an awesome open house/halloween galaPost pictures if you got &#039;em!&lt;br /&gt;
:&#039;&#039;&#039;2008-10-25&#039;&#039;&#039;: [[Soldering Workshop]] and Pumpkin Hackin&#039; - Learn to solder for total newbies (or learn to solder better!), including surface mountAdditionally, carve your halloween pumpkins and enjoy some experimental pumpkin pie and/or soup.&lt;br /&gt;
:&#039;&#039;&#039;2008-10-07&#039;&#039;&#039;: (tuesday before meeting) - Etch a circuit boardI&#039;ll be trying a photo resist etching and a basic printed mask etchingThis is step 1/3 for a project called &amp;quot;annoying USB thingie&amp;quot; which will execute pre-defined keystrokes by sneaking a tiny USB dongle onto a victim^h^h^h^h^h buddy&#039;s computer.&lt;br /&gt;
:&#039;&#039;&#039;2008-09-13&#039;&#039;&#039;: [[Processing Workshop]] — Learn this very easy-to-use programming language! - [[Processing Workshop Report]]&lt;br /&gt;
:&#039;&#039;&#039;2008-02-16&#039;&#039;&#039;: [[Brain Machine Workshop|Brain Machine Making Workshop]]: Our first hardware sprint!&lt;br /&gt;
&lt;br /&gt;
[[Category:Top level]]&lt;/div&gt;</summary>
		<author><name>76.126.141.195</name></author>
	</entry>
	<entry>
		<id>https://wiki.extremist.software/index.php?title=Machine_Learning&amp;diff=29328</id>
		<title>Machine Learning</title>
		<link rel="alternate" type="text/html" href="https://wiki.extremist.software/index.php?title=Machine_Learning&amp;diff=29328"/>
		<updated>2013-02-06T06:37:35Z</updated>

		<summary type="html">&lt;p&gt;76.126.141.195: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;=== Next Meeting===&lt;br /&gt;
&lt;br /&gt;
*When: &lt;br /&gt;
*Where: 2169 Mission St. (back NE corner, Church classroom)&lt;br /&gt;
*Topic: &lt;br /&gt;
*Details: Currently on hiatus until somebody decides to pick it back up!&lt;br /&gt;
*Who: &lt;br /&gt;
&lt;br /&gt;
=== Take the Noisebridge ML Survey ===&lt;br /&gt;
[http://www.surveymonkey.com/s/W2T9ZB6 Take a survey] and vote for what you want to learn!&lt;br /&gt;
&lt;br /&gt;
=== Crowdsourced Q&amp;amp;A ===&lt;br /&gt;
Are you working on a data mining, machine learning, or statistics problem? Do you want some help? Consider sending an email to the [https://www.noisebridge.net/mailman/listinfo/ml mailing list] about it! Also consider setting up a day to come in and talk about the project you&#039;re working on and get input from &amp;lt;span class=&amp;quot;plainlinks&amp;quot;&amp;gt;[http://www.andrewflusche.com/services/spotsylvania-reckless-driving-defense/&amp;lt;span style=&amp;quot;color:black;font-weight:normal; text-decoration:none!important; background:none!important; text-decoration:none;&amp;quot;&amp;gt;Spotsylvania reckless driving&amp;lt;/span&amp;gt;] other ML people.&lt;br /&gt;
&lt;br /&gt;
=== About Us ===&lt;br /&gt;
We&#039;re a loosely-knit stochastic federation of people who like Noisebridge and like machine learning. What is machine learning? It&#039;s broad field that typically involves training computer models to solve problems. How can you &amp;lt;span class=&amp;quot;plainlinks&amp;quot;&amp;gt;[http://www.monoloop.com&amp;lt;span style=&amp;quot;color:black;font-weight:normal; text-decoration:none!important; background:none!important; text-decoration:none;&amp;quot;&amp;gt;website personalization&amp;lt;/span&amp;gt;] participate? Join the [https://www.noisebridge.net/mailman/listinfo/ml mailing list], send an email and introduce yourself. Show up to the next meeting, share your thoughts. Participate in projects or start your own. Go to workshops, write code at workshops, learn stuff, give workshops of your own! All are welcome.&lt;br /&gt;
&lt;br /&gt;
=== Talks and Workshops ===&lt;br /&gt;
We&#039;ve given lots of workshops and talks over the past year or so, here&#039;s a few. Many of the workshops we&#039;ve given previously are recurring and will be given again, especially upon request!&lt;br /&gt;
*[[NBML/Workshops/Intro to Machine Learning|Intro to Machine Learning]]&lt;br /&gt;
*[[NBML/Workshops/Brief Tour of Statistics|A Brief Tour of Statistics]]&lt;br /&gt;
*[[NBML/Workshops/Generalized Linear Models|Generalized Linear Models]]&lt;br /&gt;
*[[NBML/Workshops/Neural Nets|Neural Nets Workshop]]&lt;br /&gt;
*[[NBML/Workshops/Support Vector Machines|Support Vector Machines]]&lt;br /&gt;
*[[NBML/Workshops/Random Forests|Random Forests]]&lt;br /&gt;
*[[NBML/Workshops/Independent Components Analysis|Independent Components Analysis]]&lt;br /&gt;
*[[NBML/Workshops/Deep Nets|Deep Nets]]&lt;br /&gt;
&lt;br /&gt;
=== Code and SourceForge Site ===&lt;br /&gt;
*We have a [http://sourceforge.net/projects/ml-noisebridge Sourceforge Project]&lt;br /&gt;
*We have a git repository on the project page, accessible as:&lt;br /&gt;
     git clone git://ml-noisebridge.git.sourceforge.net/gitroot/ml-noisebridge/ml-noisebridge&lt;br /&gt;
*Send an email to the list if you want to become an administrator on the site to get write access to the git repo!&lt;br /&gt;
&lt;br /&gt;
=== Future Talks and Topics, Ideas ===&lt;br /&gt;
*Random Forests in R&lt;br /&gt;
*Restricted Boltzmann Machines (Mike S, some day)&lt;br /&gt;
*Analyzing brain cells (Mike S)&lt;br /&gt;
*Deep Nets w/ Stacked Autoencoders (Mike S, some day)&lt;br /&gt;
*Generalized Linear Models (Mike S, Erin L? some day)&lt;br /&gt;
*Graphical Models&lt;br /&gt;
*Working with the Kinect&lt;br /&gt;
*Computer Vision with OpenCV&lt;br /&gt;
&lt;br /&gt;
=== Mailing List ===&lt;br /&gt;
&lt;br /&gt;
https://www.noisebridge.net/mailman/listinfo/ml&lt;br /&gt;
&lt;br /&gt;
=== Projects ===&lt;br /&gt;
*[[Small Group Subproblems]]&lt;br /&gt;
*[[Machine Learning/Fundraising | Fundraising]]&lt;br /&gt;
*[[NBML_Course|Noisebridge Machine Learning Course]]&lt;br /&gt;
*[[Machine Learning/Kaggle Social Network Contest | Kaggle Social Network Contest]]&lt;br /&gt;
*[[KDD Competition 2010]]&lt;br /&gt;
*[[Machine Learning/Kaggle HIV | HIV]]&lt;br /&gt;
&lt;br /&gt;
=== [[Machine_Learning/Datasets|Datasets and Websites]] ===&lt;br /&gt;
*[http://archive.ics.uci.edu/ml/ UCI Machine Learning Repository]&lt;br /&gt;
*[[DataSF.org]]&lt;br /&gt;
*[http://infochimps.com/ Infochimps]&lt;br /&gt;
*[http://www.face-rec.org/databases/ Face Recognition Databases]&lt;br /&gt;
*[http://robjhyndman.com/TSDL/ Time Series Data Library]&lt;br /&gt;
*[http://getthedata.org/ Data Q&amp;amp;A Forum]&lt;br /&gt;
*[http://metaoptimize.com/qa/ Metaoptimize]&lt;br /&gt;
*[http://www.quora.com/Machine-Learning Quora ML Page]&lt;br /&gt;
*[http://www.metoffice.gov.uk/research/climate/climate-monitoring/land-and-atmosphere/surface-station-records A ton of Weather Data]&lt;br /&gt;
*[http://mlcomp.org/ MLcomp]&lt;br /&gt;
**Upload your algorithm and objectively compare it&#039;s performance to other algorithms&lt;br /&gt;
*[http://www.ntis.gov/products/ssa-dmf.aspx Social Security Death Master File!]&lt;br /&gt;
&lt;br /&gt;
=== Software Tools ===&lt;br /&gt;
&lt;br /&gt;
==== Generic ML Libraries ====&lt;br /&gt;
*[http://www.cs.waikato.ac.nz/ml/weka/ Weka]&lt;br /&gt;
**a collection of data mining tools and machine learning algorithms.&lt;br /&gt;
*[http://moa.cs.waikato.ac.nz/ MOA (Massive Online Analysis)]&lt;br /&gt;
**Offshoot of weka, has all online-algorithms&lt;br /&gt;
*[http://scikit-learn.sourceforge.net/ scikits.learn]&lt;br /&gt;
**Machine learning Python package&lt;br /&gt;
*[http://pypi.python.org/pypi/scikits.statsmodels scikits.statsmodels]&lt;br /&gt;
**Statistical models to go with scipy&lt;br /&gt;
*[http://pybrain.org PyBrain]&lt;br /&gt;
**Does feedforward, recurrent, SOM, deep belief nets.&lt;br /&gt;
*[http://www.csie.ntu.edu.tw/~cjlin/libsvm/ LIBSVM]&lt;br /&gt;
**c-based SVM package&lt;br /&gt;
*[http://pyml.sourceforge.net PyML]&lt;br /&gt;
*[http://mdp-toolkit.sourceforge.net/ MDP]&lt;br /&gt;
**Modular framework, has lots of stuff!&lt;br /&gt;
*[[Machine Learning/VirtualBox|VirtualBox]] Virtual Box Image with Pre-installed Libraries listed here&lt;br /&gt;
*[http://deeplearning.net/software/theano/ Theano: Symbolic Expressions and Transparent GPU Integration]&lt;br /&gt;
*[http://sympy.org sympy] Does symbolic math&lt;br /&gt;
*[http://waffles.sourceforge.net/ Waffles]&lt;br /&gt;
**Open source C++ set of machine learning command line tools.&lt;br /&gt;
*[http://rapid-i.com/content/view/181/196/ RapidMiner]&lt;br /&gt;
*[http://www.mrpt.org/ Mobile Robotic Programming Toolkit]&lt;br /&gt;
*[http://nipy.sourceforge.net/nitime/ nitime]&lt;br /&gt;
**NeuroImaging in Python, has some good time series analysis stuff and multi-variate response fitting.&lt;br /&gt;
*[http://pandas.pydata.org/ Pandas]&lt;br /&gt;
**Data analysis workflow in python&lt;br /&gt;
*[http://www.pytables.org/moin PyTables]&lt;br /&gt;
**Adds querying capabilities to HDF5 files&lt;br /&gt;
*[http://statsmodels.sourceforge.net/ statsmodels]&lt;br /&gt;
**Regression, time series analysis, statistics stuff for python&lt;br /&gt;
*[https://github.com/JohnLangford/vowpal_wabbit/wiki Vowpal Wabbit]&lt;br /&gt;
**&amp;quot;Intrinsically Fast&amp;quot; implementation of gradient descent for large datasets&lt;br /&gt;
*[http://www.shogun-toolbox.org/ Shogun]&lt;br /&gt;
**Fast implementations of SVMs&lt;br /&gt;
*[http://mc-stan.org/ Stan]&lt;br /&gt;
**A graphical model compiler&lt;br /&gt;
&lt;br /&gt;
==== Computer Vision ====&lt;br /&gt;
*[http://opencv.willowgarage.com/documentation/index.html OpenCV]&lt;br /&gt;
**Computer Vision Library&lt;br /&gt;
**Has ML component (SVM, trees, etc)&lt;br /&gt;
**Online tutorials [http://www.pages.drexel.edu/~nk752/tutorials.html here]&lt;br /&gt;
&lt;br /&gt;
==== Audio Processing ====&lt;br /&gt;
*[http://tlecomte.github.com/friture/ Friture]&lt;br /&gt;
**Real-time spectrogram generation&lt;br /&gt;
*[http://code.google.com/p/pyo/ pyo]&lt;br /&gt;
**Real-time audio signal processing&lt;br /&gt;
*[https://github.com/jsawruk/pymir PYMir] &lt;br /&gt;
**A library for reading mp3&#039;s into python, and doing analysis &lt;br /&gt;
*[http://wiki.python.org/moin/PythonInMusic List of Sound Tools for Python]&lt;br /&gt;
&lt;br /&gt;
==== Data Visualization ====&lt;br /&gt;
*[http://www.ailab.si/orange/ Orange]&lt;br /&gt;
**Strong data visualization component&lt;br /&gt;
*[http://gephi.org/ Gephi]&lt;br /&gt;
**Graph Visualization&lt;br /&gt;
*[http://had.co.nz/ggplot2/ ggplot]&lt;br /&gt;
**Nice plotting package for R&lt;br /&gt;
*[http://code.enthought.com/projects/mayavi/ MayaVi2]&lt;br /&gt;
**3D Scientific Data Visualization&lt;br /&gt;
&lt;br /&gt;
==== Cluster Computing ====&lt;br /&gt;
*[http://lucene.apache.org/mahout/ Mahout]&lt;br /&gt;
**Hadoop cluster based ML package.&lt;br /&gt;
*[http://web.mit.edu/star/cluster/ STAR: Cluster]&lt;br /&gt;
**Easily build your own Python computing cluster on Amazon EC2&lt;br /&gt;
&lt;br /&gt;
==== Other ====&lt;br /&gt;
*[http://jmlr.csail.mit.edu/mloss/ Journal of Machine Learning Software List]&lt;br /&gt;
&lt;br /&gt;
=== Presentations and other Materials ===&lt;br /&gt;
* [[Awesome Machine Learning Applications]] -- A list of cool applications of ML&lt;br /&gt;
* [[Hands-on Machine Learning]], a presentation [[User:jbm|jbm]] gave on 2009-01-07.&lt;br /&gt;
* http://www.youtube.com/user/StanfordUniversity#g/c/A89DCFA6ADACE599 Stanford Machine Learning online course videos]&lt;br /&gt;
* [[Media:Brief_statistics_slides.pdf]], a presentation given on statistics for the machine learning group&lt;br /&gt;
* [http://www.linkedin.com/groupAnswers?viewQuestionAndAnswers=&amp;amp;discussionID=20096092&amp;amp;gid=77616&amp;amp;trk=EML_anet_qa_ttle-0Nt79xs2RVr6JBpnsJt7dBpSBA LinkedIn] discussion on good resources for data mining and predictive analytics&lt;br /&gt;
* [http://www.face-rec.org/algorithms/ Face Recognition Algorithms]&lt;br /&gt;
* [http://www.ics.uci.edu/~welling/classnotes/classnotes.html Max Welling&#039;s ML classnotes]&lt;br /&gt;
&lt;br /&gt;
=== Topics to Learn and Teach ===&lt;br /&gt;
[[NBML Course]] - Noisebridge Machine Learning Curriculum (work-in-progress)&lt;br /&gt;
&lt;br /&gt;
[[CS229]] - The Stanford Machine learning Course @ noisebridge&lt;br /&gt;
&lt;br /&gt;
*Supervised Learning&lt;br /&gt;
**Linear Regression&lt;br /&gt;
**Linear Discriminants&lt;br /&gt;
**Neural Nets/Radial Basis Functions&lt;br /&gt;
**Support Vector Machines&lt;br /&gt;
**Classifier Combination [http://www.cedar.buffalo.edu/~srihari/CSE555/Chap9.Part6.pdf]&lt;br /&gt;
**A basic decision tree builder, recursive and using entropy metrics&lt;br /&gt;
&lt;br /&gt;
*Unsupervised Learning&lt;br /&gt;
**[[Machine_Learning/HMM|Hidden Markov Models]]&lt;br /&gt;
**Clustering: PCA, k-Means, Expectation-Maximization&lt;br /&gt;
**Graphical Modeling&lt;br /&gt;
**Generative Models: gaussian distribution, multinomial distributions, HMMs, Naive Bayes&lt;br /&gt;
**[[Machine_Learning/Deep_Belief_Networks|Deep Belief Networks &amp;amp; Restricted Boltzmann Machines]]&lt;br /&gt;
&lt;br /&gt;
*Reinforcement Learning&lt;br /&gt;
**Temporal Difference Learning&lt;br /&gt;
&lt;br /&gt;
*Math, Probability &amp;amp; Statistics&lt;br /&gt;
**Metric spaces and what they mean&lt;br /&gt;
**Fundamentals of probabilities&lt;br /&gt;
**Decision Theory (Bayesian)&lt;br /&gt;
**Maximum Likelihood&lt;br /&gt;
**Bias/Variance Tradeoff, VC Dimension&lt;br /&gt;
**Bagging, Bootstrap, Jacknife [http://www.cedar.buffalo.edu/~srihari/CSE555/Chap9.Part3.pdf]&lt;br /&gt;
**Information Theory: Entropy, Mutual Information, Gaussian Channels&lt;br /&gt;
**Estimation of Misclassification [http://www.cedar.buffalo.edu/~srihari/CSE555/Chap9.Part5.pdf]&lt;br /&gt;
**No-Free Lunch Theorem [http://www.cedar.buffalo.edu/~srihari/CSE555/Chap9.Part1.pdf]&lt;br /&gt;
&lt;br /&gt;
*Machine Learning SDK&#039;s&lt;br /&gt;
** [http://opencv.willowgarage.com/documentation/index.html OpenCV] ML component (SVM, trees, etc)&lt;br /&gt;
**[http://lucene.apache.org/mahout/ Mahout] a Hadoop cluster based ML package.&lt;br /&gt;
**[http://www.cs.waikato.ac.nz/ml/weka/ Weka] a collection of data mining tools and machine learning algorithms.&lt;br /&gt;
&lt;br /&gt;
*Applications&lt;br /&gt;
** Collective Intelligence &amp;amp; Recommendation Engines&lt;br /&gt;
&lt;br /&gt;
=== [[Machine Learning/Meeting Notes|Meeting Notes]]===&lt;br /&gt;
&lt;br /&gt;
[[Category:Events]]&lt;br /&gt;
[[Category:Projects]]&lt;/div&gt;</summary>
		<author><name>76.126.141.195</name></author>
	</entry>
	<entry>
		<id>https://wiki.extremist.software/index.php?title=Machine_Learning&amp;diff=28000</id>
		<title>Machine Learning</title>
		<link rel="alternate" type="text/html" href="https://wiki.extremist.software/index.php?title=Machine_Learning&amp;diff=28000"/>
		<updated>2012-11-06T04:02:42Z</updated>

		<summary type="html">&lt;p&gt;76.126.141.195: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;=== Next Meeting===&lt;br /&gt;
&lt;br /&gt;
*When: November 8 @ 7:30pm&lt;br /&gt;
*Where: 2169 Mission St. (back NE corner, Church classroom)&lt;br /&gt;
*Topic: Basic Information Theory: Entropy&lt;br /&gt;
*Details: Whiteboard discussion on the very basics of discrete probability distributions and entropy.&lt;br /&gt;
*Who: &lt;br /&gt;
&lt;br /&gt;
=== Take the Noisebridge ML Survey ===&lt;br /&gt;
[http://www.surveymonkey.com/s/W2T9ZB6 Take a survey] and vote for what you want to learn!&lt;br /&gt;
&lt;br /&gt;
=== Crowdsourced Q&amp;amp;A ===&lt;br /&gt;
Are you working on a data mining, machine learning, or statistics problem? Do you want some help? Consider sending an email to the [https://www.noisebridge.net/mailman/listinfo/ml mailing list] about it! Also consider setting up a day to come in and talk about the project you&#039;re working on and get input from &amp;lt;span class=&amp;quot;plainlinks&amp;quot;&amp;gt;[http://www.andrewflusche.com/services/spotsylvania-reckless-driving-defense/&amp;lt;span style=&amp;quot;color:black;font-weight:normal; text-decoration:none!important; background:none!important; text-decoration:none;&amp;quot;&amp;gt;Spotsylvania reckless driving&amp;lt;/span&amp;gt;] other ML people.&lt;br /&gt;
&lt;br /&gt;
=== About Us ===&lt;br /&gt;
We&#039;re a loosely-knit stochastic federation of people who like Noisebridge and like machine learning. What is machine learning? It&#039;s broad field that typically involves training computer models to solve problems. How can you &amp;lt;span class=&amp;quot;plainlinks&amp;quot;&amp;gt;[http://www.monoloop.com&amp;lt;span style=&amp;quot;color:black;font-weight:normal; text-decoration:none!important; background:none!important; text-decoration:none;&amp;quot;&amp;gt;website personalization&amp;lt;/span&amp;gt;] participate? Join the [https://www.noisebridge.net/mailman/listinfo/ml mailing list], send an email and introduce yourself. Show up to the next meeting, share your thoughts. Participate in projects or start your own. Go to workshops, write code at workshops, learn stuff, give workshops of your own! All are welcome.&lt;br /&gt;
&lt;br /&gt;
=== Talks and Workshops ===&lt;br /&gt;
We&#039;ve given lots of workshops and talks over the past year or so, here&#039;s a few. Many of the workshops we&#039;ve given previously are recurring and will be given again, especially upon request!&lt;br /&gt;
*[[NBML/Workshops/Intro to Machine Learning|Intro to Machine Learning]]&lt;br /&gt;
*[[NBML/Workshops/Brief Tour of Statistics|A Brief Tour of Statistics]]&lt;br /&gt;
*[[NBML/Workshops/Generalized Linear Models|Generalized Linear Models]]&lt;br /&gt;
*[[NBML/Workshops/Neural Nets|Neural Nets Workshop]]&lt;br /&gt;
*[[NBML/Workshops/Support Vector Machines|Support Vector Machines]]&lt;br /&gt;
*[[NBML/Workshops/Random Forests|Random Forests]]&lt;br /&gt;
*[[NBML/Workshops/Independent Components Analysis|Independent Components Analysis]]&lt;br /&gt;
*[[NBML/Workshops/Deep Nets|Deep Nets]]&lt;br /&gt;
&lt;br /&gt;
=== Code and SourceForge Site ===&lt;br /&gt;
*We have a [http://sourceforge.net/projects/ml-noisebridge Sourceforge Project]&lt;br /&gt;
*We have a git repository on the project page, accessible as:&lt;br /&gt;
     git clone git://ml-noisebridge.git.sourceforge.net/gitroot/ml-noisebridge/ml-noisebridge&lt;br /&gt;
*Send an email to the list if you want to become an administrator on the site to get write access to the git repo!&lt;br /&gt;
&lt;br /&gt;
=== Future Talks and Topics, Ideas ===&lt;br /&gt;
*Random Forests in R&lt;br /&gt;
*Restricted Boltzmann Machines (Mike S, some day)&lt;br /&gt;
*Analyzing brain cells (Mike S)&lt;br /&gt;
*Deep Nets w/ Stacked Autoencoders (Mike S, some day)&lt;br /&gt;
*Generalized Linear Models (Mike S, Erin L? some day)&lt;br /&gt;
*Graphical Models&lt;br /&gt;
*Working with the Kinect&lt;br /&gt;
*Computer Vision with OpenCV&lt;br /&gt;
&lt;br /&gt;
=== Mailing List ===&lt;br /&gt;
&lt;br /&gt;
https://www.noisebridge.net/mailman/listinfo/ml&lt;br /&gt;
&lt;br /&gt;
=== Projects ===&lt;br /&gt;
*[[Small Group Subproblems]]&lt;br /&gt;
*[[Machine Learning/Fundraising | Fundraising]]&lt;br /&gt;
*[[NBML_Course|Noisebridge Machine Learning Course]]&lt;br /&gt;
*[[Machine Learning/Kaggle Social Network Contest | Kaggle Social Network Contest]]&lt;br /&gt;
*[[KDD Competition 2010]]&lt;br /&gt;
*[[Machine Learning/Kaggle HIV | HIV]]&lt;br /&gt;
&lt;br /&gt;
=== [[Machine_Learning/Datasets|Datasets and Websites]] ===&lt;br /&gt;
*[http://archive.ics.uci.edu/ml/ UCI Machine Learning Repository]&lt;br /&gt;
*[[DataSF.org]]&lt;br /&gt;
*[http://infochimps.com/ Infochimps]&lt;br /&gt;
*[http://www.face-rec.org/databases/ Face Recognition Databases]&lt;br /&gt;
*[http://robjhyndman.com/TSDL/ Time Series Data Library]&lt;br /&gt;
*[http://getthedata.org/ Data Q&amp;amp;A Forum]&lt;br /&gt;
*[http://metaoptimize.com/qa/ Metaoptimize]&lt;br /&gt;
*[http://www.quora.com/Machine-Learning Quora ML Page]&lt;br /&gt;
*[http://www.metoffice.gov.uk/research/climate/climate-monitoring/land-and-atmosphere/surface-station-records A ton of Weather Data]&lt;br /&gt;
*[http://mlcomp.org/ MLcomp]&lt;br /&gt;
**Upload your algorithm and objectively compare it&#039;s performance to other algorithms&lt;br /&gt;
*[http://www.ntis.gov/products/ssa-dmf.aspx Social Security Death Master File!]&lt;br /&gt;
&lt;br /&gt;
=== Software Tools ===&lt;br /&gt;
&lt;br /&gt;
==== Generic ML Libraries ====&lt;br /&gt;
*[http://www.cs.waikato.ac.nz/ml/weka/ Weka]&lt;br /&gt;
**a collection of data mining tools and machine learning algorithms.&lt;br /&gt;
*[http://moa.cs.waikato.ac.nz/ MOA (Massive Online Analysis)]&lt;br /&gt;
**Offshoot of weka, has all online-algorithms&lt;br /&gt;
*[http://scikit-learn.sourceforge.net/ scikits.learn]&lt;br /&gt;
**Machine learning Python package&lt;br /&gt;
*[http://pypi.python.org/pypi/scikits.statsmodels scikits.statsmodels]&lt;br /&gt;
**Statistical models to go with scipy&lt;br /&gt;
*[http://pybrain.org PyBrain]&lt;br /&gt;
**Does feedforward, recurrent, SOM, deep belief nets.&lt;br /&gt;
*[http://www.csie.ntu.edu.tw/~cjlin/libsvm/ LIBSVM]&lt;br /&gt;
**c-based SVM package&lt;br /&gt;
*[http://pyml.sourceforge.net PyML]&lt;br /&gt;
*[http://mdp-toolkit.sourceforge.net/ MDP]&lt;br /&gt;
**Modular framework, has lots of stuff!&lt;br /&gt;
*[[Machine Learning/VirtualBox|VirtualBox]] Virtual Box Image with Pre-installed Libraries listed here&lt;br /&gt;
*[http://deeplearning.net/software/theano/ Theano: Symbolic Expressions and Transparent GPU Integration]&lt;br /&gt;
*[http://sympy.org sympy] Does symbolic math&lt;br /&gt;
*[http://waffles.sourceforge.net/ Waffles]&lt;br /&gt;
**Open source C++ set of machine learning command line tools.&lt;br /&gt;
*[http://rapid-i.com/content/view/181/196/ RapidMiner]&lt;br /&gt;
*[http://www.mrpt.org/ Mobile Robotic Programming Toolkit]&lt;br /&gt;
*[http://nipy.sourceforge.net/nitime/ nitime]&lt;br /&gt;
**NeuroImaging in Python, has some good time series analysis stuff and multi-variate response fitting.&lt;br /&gt;
*[http://pandas.pydata.org/ Pandas]&lt;br /&gt;
**Data analysis workflow in python&lt;br /&gt;
*[http://www.pytables.org/moin PyTables]&lt;br /&gt;
**Adds querying capabilities to HDF5 files&lt;br /&gt;
*[http://statsmodels.sourceforge.net/ statsmodels]&lt;br /&gt;
**Regression, time series analysis, statistics stuff for python&lt;br /&gt;
*[https://github.com/JohnLangford/vowpal_wabbit/wiki Vowpal Wabbit]&lt;br /&gt;
**&amp;quot;Intrinsically Fast&amp;quot; implementation of gradient descent for large datasets&lt;br /&gt;
*[http://www.shogun-toolbox.org/ Shogun]&lt;br /&gt;
**Fast implementations of SVMs&lt;br /&gt;
&lt;br /&gt;
==== Computer Vision ====&lt;br /&gt;
*[http://opencv.willowgarage.com/documentation/index.html OpenCV]&lt;br /&gt;
**Computer Vision Library&lt;br /&gt;
**Has ML component (SVM, trees, etc)&lt;br /&gt;
**Online tutorials [http://www.pages.drexel.edu/~nk752/tutorials.html here]&lt;br /&gt;
&lt;br /&gt;
==== Audio Processing ====&lt;br /&gt;
*[http://tlecomte.github.com/friture/ Friture]&lt;br /&gt;
**Real-time spectrogram generation&lt;br /&gt;
*[http://code.google.com/p/pyo/ pyo]&lt;br /&gt;
**Real-time audio signal processing&lt;br /&gt;
*[https://github.com/jsawruk/pymir PYMir] &lt;br /&gt;
**A library for reading mp3&#039;s into python, and doing analysis &lt;br /&gt;
*[http://wiki.python.org/moin/PythonInMusic List of Sound Tools for Python]&lt;br /&gt;
&lt;br /&gt;
==== Data Visualization ====&lt;br /&gt;
*[http://www.ailab.si/orange/ Orange]&lt;br /&gt;
**Strong data visualization component&lt;br /&gt;
*[http://gephi.org/ Gephi]&lt;br /&gt;
**Graph Visualization&lt;br /&gt;
*[http://had.co.nz/ggplot2/ ggplot]&lt;br /&gt;
**Nice plotting package for R&lt;br /&gt;
*[http://code.enthought.com/projects/mayavi/ MayaVi2]&lt;br /&gt;
**3D Scientific Data Visualization&lt;br /&gt;
&lt;br /&gt;
==== Cluster Computing ====&lt;br /&gt;
*[http://lucene.apache.org/mahout/ Mahout]&lt;br /&gt;
**Hadoop cluster based ML package.&lt;br /&gt;
*[http://web.mit.edu/star/cluster/ STAR: Cluster]&lt;br /&gt;
**Easily build your own Python computing cluster on Amazon EC2&lt;br /&gt;
&lt;br /&gt;
==== Other ====&lt;br /&gt;
*[http://jmlr.csail.mit.edu/mloss/ Journal of Machine Learning Software List]&lt;br /&gt;
&lt;br /&gt;
=== Presentations and other Materials ===&lt;br /&gt;
* [[Awesome Machine Learning Applications]] -- A list of cool applications of ML&lt;br /&gt;
* [[Hands-on Machine Learning]], a presentation [[User:jbm|jbm]] gave on 2009-01-07.&lt;br /&gt;
* http://www.youtube.com/user/StanfordUniversity#g/c/A89DCFA6ADACE599 Stanford Machine Learning online course videos]&lt;br /&gt;
* [[Media:Brief_statistics_slides.pdf]], a presentation given on statistics for the machine learning group&lt;br /&gt;
* [http://www.linkedin.com/groupAnswers?viewQuestionAndAnswers=&amp;amp;discussionID=20096092&amp;amp;gid=77616&amp;amp;trk=EML_anet_qa_ttle-0Nt79xs2RVr6JBpnsJt7dBpSBA LinkedIn] discussion on good resources for data mining and predictive analytics&lt;br /&gt;
* [http://www.face-rec.org/algorithms/ Face Recognition Algorithms]&lt;br /&gt;
* [http://www.ics.uci.edu/~welling/classnotes/classnotes.html Max Welling&#039;s ML classnotes]&lt;br /&gt;
&lt;br /&gt;
=== Topics to Learn and Teach ===&lt;br /&gt;
[[NBML Course]] - Noisebridge Machine Learning Curriculum (work-in-progress)&lt;br /&gt;
&lt;br /&gt;
[[CS229]] - The Stanford Machine learning Course @ noisebridge&lt;br /&gt;
&lt;br /&gt;
*Supervised Learning&lt;br /&gt;
**Linear Regression&lt;br /&gt;
**Linear Discriminants&lt;br /&gt;
**Neural Nets/Radial Basis Functions&lt;br /&gt;
**Support Vector Machines&lt;br /&gt;
**Classifier Combination [http://www.cedar.buffalo.edu/~srihari/CSE555/Chap9.Part6.pdf]&lt;br /&gt;
**A basic decision tree builder, recursive and using entropy metrics&lt;br /&gt;
&lt;br /&gt;
*Unsupervised Learning&lt;br /&gt;
**[[Machine_Learning/HMM|Hidden Markov Models]]&lt;br /&gt;
**Clustering: PCA, k-Means, Expectation-Maximization&lt;br /&gt;
**Graphical Modeling&lt;br /&gt;
**Generative Models: gaussian distribution, multinomial distributions, HMMs, Naive Bayes&lt;br /&gt;
**[[Machine_Learning/Deep_Belief_Networks|Deep Belief Networks &amp;amp; Restricted Boltzmann Machines]]&lt;br /&gt;
&lt;br /&gt;
*Reinforcement Learning&lt;br /&gt;
**Temporal Difference Learning&lt;br /&gt;
&lt;br /&gt;
*Math, Probability &amp;amp; Statistics&lt;br /&gt;
**Metric spaces and what they mean&lt;br /&gt;
**Fundamentals of probabilities&lt;br /&gt;
**Decision Theory (Bayesian)&lt;br /&gt;
**Maximum Likelihood&lt;br /&gt;
**Bias/Variance Tradeoff, VC Dimension&lt;br /&gt;
**Bagging, Bootstrap, Jacknife [http://www.cedar.buffalo.edu/~srihari/CSE555/Chap9.Part3.pdf]&lt;br /&gt;
**Information Theory: Entropy, Mutual Information, Gaussian Channels&lt;br /&gt;
**Estimation of Misclassification [http://www.cedar.buffalo.edu/~srihari/CSE555/Chap9.Part5.pdf]&lt;br /&gt;
**No-Free Lunch Theorem [http://www.cedar.buffalo.edu/~srihari/CSE555/Chap9.Part1.pdf]&lt;br /&gt;
&lt;br /&gt;
*Machine Learning SDK&#039;s&lt;br /&gt;
** [http://opencv.willowgarage.com/documentation/index.html OpenCV] ML component (SVM, trees, etc)&lt;br /&gt;
**[http://lucene.apache.org/mahout/ Mahout] a Hadoop cluster based ML package.&lt;br /&gt;
**[http://www.cs.waikato.ac.nz/ml/weka/ Weka] a collection of data mining tools and machine learning algorithms.&lt;br /&gt;
&lt;br /&gt;
*Applications&lt;br /&gt;
** Collective Intelligence &amp;amp; Recommendation Engines&lt;br /&gt;
&lt;br /&gt;
=== [[Machine Learning/Meeting Notes|Meeting Notes]]===&lt;br /&gt;
&lt;br /&gt;
[[Category:Events]]&lt;br /&gt;
[[Category:Projects]]&lt;/div&gt;</summary>
		<author><name>76.126.141.195</name></author>
	</entry>
	<entry>
		<id>https://wiki.extremist.software/index.php?title=Category:Events&amp;diff=27150</id>
		<title>Category:Events</title>
		<link rel="alternate" type="text/html" href="https://wiki.extremist.software/index.php?title=Category:Events&amp;diff=27150"/>
		<updated>2012-08-20T05:54:07Z</updated>

		<summary type="html">&lt;p&gt;76.126.141.195: /* Recurring Events edit */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;&amp;lt;!-- Note that this page uses transclusion. Content between the &amp;quot;onlyinclude&amp;quot; tags below will be pushed to the main page --&amp;gt;&lt;br /&gt;
Official, Semi-Official, one-off and other events at the Noisebridge space.&lt;br /&gt;
&lt;br /&gt;
=Event Calendar=&lt;br /&gt;
Not all events make it onto this calendar. Many events only make it to the Discussion or Announcements [[Mailinglist | mailing lists]], [[IRC]] or in person at [[:Category:Meeting_Notes | Tuesday meetings]]. Best of all, Noisebridge is about people getting together at the space in San Francisco to do stuff... like in person. Some events just happen.  Pay attention!&lt;br /&gt;
&lt;br /&gt;
If you&#039;d like to host an event yourself, we have advice on  [[Hosting_an_Event|hosting an event]] at Noisebridge.&lt;br /&gt;
&lt;br /&gt;
Event posters are encouraged to crosspost to the Google Calendar. View the  [http://www.google.com/calendar/embed?src=vo3i3c0qtjnkjr2ojasd0ftt8s%40group.calendar.google.com&amp;amp;ctz=America/Los_Angeles Google Calendar], view the [http://www.google.com/calendar/feeds/vo3i3c0qtjnkjr2ojasd0ftt8s%40group.calendar.google.com/public/basic Google Calendar in XML], or the [http://www.google.com/calendar/ical/vo3i3c0qtjnkjr2ojasd0ftt8s%40group.calendar.google.com/public/basic.ics Google Calendar in ical] format.&lt;br /&gt;
&lt;br /&gt;
To post Google Calendar entries for your event, ask on the noisebridge-discuss mailing list.&lt;br /&gt;
&lt;br /&gt;
&amp;lt;!-- Items inside this &amp;quot;onlyinclude&amp;quot; tag will be pushed to the main page --&amp;gt;&amp;lt;onlyinclude&amp;gt;&lt;br /&gt;
=== Upcoming Events &amp;lt;small&amp;gt;[https://www.noisebridge.net/index.php?title=Category:Events&amp;amp;action=edit&amp;amp;section=2 edit]&amp;lt;/small&amp;gt; ===&lt;br /&gt;
&amp;lt;!-- Please read our &amp;quot;Hosting an Event&amp;quot; page and possibly follow some of the guidelines there before posting your event here. https://www.noisebridge.net/wiki/Hosting_an_Event --&amp;gt;&lt;br /&gt;
&amp;lt;!-- It&#039;s smart to add in a link to a wiki page with more information about your even, and a way to contact the event organizer(s). Thanks! --&amp;gt;&lt;br /&gt;
&lt;br /&gt;
*&#039;&#039;&#039;Saturday, August 18&#039;&#039;&#039; - Release date for the third installment of the Noisebridge-inspired Zine in Progress, [[zine|ZiP]]. (No, really!) In the meantime visit the newly revamped website http://zine.noisebridge.net &amp;amp; stay tuned for updates &amp;amp; preview pages from the forthcoming mega-zine!&lt;br /&gt;
*&#039;&#039;&#039;Saturday, September 29&#039;&#039;&#039; - [[RaspberryPiEvent|Raspberry Workshop / Tech Demos, Talk, Show &amp;amp; Tell / Prizes]], all-day event!  11am - 5pm&lt;br /&gt;
* &#039;&#039;&#039;October 19th, 20th, and 21st, 2012 - [[Hackmeet|Hackmeet 3.0]]&#039;&#039;&#039;&lt;br /&gt;
* &#039;&#039;&#039;Friday, November 16&#039;&#039;&#039; - [[Coding Freedom|Book release event]] for Gabriella Coleman&#039;s book &#039;&#039;Coding Freedom&#039;&#039;&lt;br /&gt;
&lt;br /&gt;
=== Recurring Events &amp;lt;small&amp;gt;[https://www.noisebridge.net/index.php?title=Category:Events&amp;amp;action=edit&amp;amp;section=3 edit]&amp;lt;/small&amp;gt; ===&lt;br /&gt;
&amp;lt;!-- Please read our &amp;quot;Hosting an Event&amp;quot; page and possibly follow some of the guidelines there before posting your event here. https://www.noisebridge.net/wiki/Hosting_an_Event --&amp;gt;&lt;br /&gt;
&amp;lt;!-- It&#039;s smart to add in a link to a wiki page with more information about your even, and a way to contact the event organizer(s). Thanks! --&amp;gt;&lt;br /&gt;
&amp;lt;!-- Large turnout events should be written in &#039;&#039;&#039;bold&#039;&#039;&#039;. --&amp;gt;&lt;br /&gt;
&lt;br /&gt;
* &#039;&#039;&#039;Monday&#039;&#039;&#039;&lt;br /&gt;
** [[Gamebridge| 18:00 Unityversity Unity3D Game Development user group and beginner mentoring. ]]&lt;br /&gt;
** &#039;&#039;&#039;19:30 - 22:00 [[Circuit Hacking Mondays]]&#039;&#039;&#039; - Learn to solder! Rolf, Miloh, and others will bring kits to make cool, hackable things for all skill levels that you can bring home after you make them.  Bring your own projects to hack! Bring things to fix!  All welcome! &lt;br /&gt;
** 19:00 [[Cook-in class]] Bring your ideas/food/appetite and try your hand at cooking.&lt;br /&gt;
** &#039;&#039;&#039;20:00-22:00 [[Frontend Web Development]]&#039;&#039;&#039; - Learn HTML/CSS/JS. We&#039;ll cover the basics (starting at 19:30) and then go in-depth on different topics every week.&lt;br /&gt;
** [[House_Keeping#Trash_and_Recycling|Take Out the Trash Night]]&lt;br /&gt;
&lt;br /&gt;
* &#039;&#039;&#039;Tuesday&#039;&#039;&#039;&lt;br /&gt;
** 15:00 - 16:30 [[Linux System Administration Study Group]] meets in the Turing classroom. Help us develop a [[Linux|Linux section]] for the wiki. We&#039;re working with Git as of May 2012.&lt;br /&gt;
** 16:30 [[Intro to SQL Databases]] Database programming and design using MySQL. Every Tuesday in Turing classroom.&lt;br /&gt;
** 17:30 [[C and assembler on Linux]] This is a class working at a beginner&#039;s level with gcc and nash in Church.&lt;br /&gt;
** &amp;lt;!-- Confirmed 20120626 by rubin110 --&amp;gt; 18:30 - 20:00 [[Linux101|Linux 101 Intro Class]]: Learn how easy Open Source can be and how to migrate all of your daily tasks. The class will be presented in 3 parts. Includes OS installation, software use and elementary terminal commands. Feel free to come early if you might need extra assistance.  No experience necessary or expected.&lt;br /&gt;
** 19:00-21:00 [[Backend web dev in Ruby on Rails]]&lt;br /&gt;
** 19:00 [[Tastebridge]] / [[Vegan Hacker]] Monthly Food Hacking, last Tuesday of every month, 7pm. &#039;&#039;&#039;**Cancelled for August**&#039;&#039;&#039; http://www.veganhackersf.com&lt;br /&gt;
** 19:30 [[Spacebridge]] - Noisebridge&#039;s space program&lt;br /&gt;
** &#039;&#039;&#039;20:00 [[Meetings|Noisebridge Weekly Meeting]]&#039;&#039;&#039; - Introducing new people and events to the space, general discussion, and decision making.&lt;br /&gt;
&amp;lt;!-- On hiatus? 2012-08-07** 22:00 [[SF Grey Hat Meetup]] If you have to ask you probably shouldn&#039;t show up. next meeting 3/13 will cover metasploit, vote for next topic. --&amp;gt;&lt;br /&gt;
* &#039;&#039;&#039;Wednesday&#039;&#039;&#039;&lt;br /&gt;
** 18:00 [[Replicator Wednesday|Replicator Wednesday]]! Learn about 3D printing and its implications.&lt;br /&gt;
** 18:00 [[LinuxDiscussion|Linux Discussion]] - Linux meetup in the Turing classroom.&lt;br /&gt;
** 19:00 [[PyClass]] - Learn how to program using the Python programming language. New &amp;quot;series&amp;quot; starts December 5th!&lt;br /&gt;
** 19:00 [[SCoW]] - Sewing, Crafting, Or Whatever! Come make cool stuff with geeks.&lt;br /&gt;
** 20:00 [[BACE Timebank]] (2nd Wednesdays) - Help organize community mutual aid by trading in equal time credits.  To join go to [http://bace.org bace.org].&lt;br /&gt;
* &#039;&#039;&#039;Thursday&#039;&#039;&#039;&lt;br /&gt;
** [[House_Keeping#Trash_and_Recycling|Trash Night]]  - Take out the trash for Friday morning!&lt;br /&gt;
&amp;lt;!-- on hiatus 2012-08-07 ** 18:30 [[Social_Engineers|Social Engineers]] 6.30pm- late. onwards Noisebridge&#039;s weekly attempt to hack its own social conundrums (including organizing, long-term planning, and consensus) using data, science, and heavy machinery. Email danny@spesh.com or join us on the [https://www.noisebridge.net/mailman/listinfo/socialengineering mailing list]. --&amp;gt;&lt;br /&gt;
** 19:30 [[Machine_Learning|Machine Learning]] come in and learn about statistical learning techniques.&lt;br /&gt;
&amp;lt;!-- on hiatus 2012-08-07 ** 19:00 [[Noisedroid/Nights]] - An Android-Themed Co-working Night. --&amp;gt;&lt;br /&gt;
** 19:00 [[german_corner|German Corner]] Learn and practice speaking German.&lt;br /&gt;
** 20:00 [[Frontend_Web_Development#Lab|Frontend Web Development Lab]] - Understand by doing! A recap of Monday&#039;s lecture in workshop form - and a good time for one-on-one help with the material.&lt;br /&gt;
** 20:00 [https://www.noisebridge.net/mailman/listinfo/zine ZinesFromOuterSpace] - A weekly meetup for zinesters / printing hackers / DIY publishers, and brainstorming session for the next chapter of [[zine | ZiP]].&lt;br /&gt;
* &#039;&#039;&#039;Friday&#039;&#039;&#039;&lt;br /&gt;
** 18:30-20:30 Beginner [[French]] - Learn basic grammar and sentence structure. Classes meet in the Turing room.&lt;br /&gt;
* &#039;&#039;&#039;Saturday&#039;&#039;&#039;&lt;br /&gt;
** 1 to 4 PM, Unix ciertification in the Church classroom: Unix security topics (syslogd, encryption...), Glen Jarvis honchos.  &lt;br /&gt;
* &#039;&#039;&#039;Sunday&#039;&#039;&#039;&lt;br /&gt;
**14:00-18:00(ish) [[Elements of Image Making]]- Begins 8/26! Tactile, Chemical and Optical Manipulations for Time Based Media. DIY 16mm movie making. 2nd and 4th Sundays &lt;br /&gt;
** 14:00 [http://baha.bitrot.info/ Bay Area Hacker&#039;s Association - security meeting] (2nd Sundays)&lt;br /&gt;
** 15:00 [[Go]] - Playing of the Go boardgame. On nice days we often take the boards to Dolores Park and play there.&lt;br /&gt;
** 18:00 Lock Sport Collaboration: Come learn how to pick locks with others. &lt;br /&gt;
** 19:00 [[Hack Politics]] -- 1st and 3rd Sundays of the month.  Hack the political systems.  (Next meeting will be July 1, 2012).&lt;br /&gt;
&amp;lt;/onlyinclude&amp;gt;&lt;br /&gt;
&lt;br /&gt;
=== Orphaned Events ===&lt;br /&gt;
These events appear to be dormant or extinct.&lt;br /&gt;
&lt;br /&gt;
=== Proposed Future Events and Classes ===&lt;br /&gt;
:&amp;quot;&#039;(TBD)&amp;quot;&#039;: [[VideoHacking]] a weekly video/video art devoted hacker group, including experiments in the 3D vr realm...if interested contact julialc4@gmail.com&lt;br /&gt;
:Wednesdays at 21:00 [[Brewing Bridge]] - Malakkar Proposal: Learn how to make your drinks fun AND antibacterial, using yeast. This will be recurring if enough interest or need is present. Associated items - what to do with brewing leftovers, and brewers sample hour, etc.&lt;br /&gt;
:&#039;&#039;&#039;(TBD)&#039;&#039;&#039;: [[Fie: Failure is Eminent]] - [[User:MedianMajik|James]] wants to start a System Recovery class that will meet either bi-monthly or weekly for a couple hours to try various backup and recovery methods on drives and data.&lt;br /&gt;
:&#039;&#039;&#039;(TBD)&#039;&#039;&#039;: [[101 Introduction to Linux]] - [[User:MedianMajik|James]] wants to start a 101 Introduction to Linux class where people can ask whatever questions they want and get them answered in 60 to 90 minutes.  Church would be the optimal location.  Looking for teachers.&lt;br /&gt;
:&#039;&#039;&#039;(TBD)&#039;&#039;&#039;: [[Probability]] - Weekly probability study group based on [http://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-041-probabilistic-systems-analysis-and-applied-probability-spring-2006/related-resources/ Fundamentals of Applied Probability Theory] by Al Drake&lt;br /&gt;
:&#039;&#039;&#039;(TBD)&#039;&#039;&#039;: [[Mandarin Corner|Mandarin]] - Learn or practice Mandarin, all levels. Also currently on hiatus. Get on the mailing list.&lt;br /&gt;
:&#039;&#039;&#039;(TBD)&#039;&#039;&#039;: [[Movie Night!]] - [[User:ThOMG|Thom]] wants to build community through nerdy sci-fi! (+Bill+Ted+Excellence++) (how about a Friday hacker movie night? -[[User:Carl|Carl]])&lt;br /&gt;
:&#039;&#039;&#039;(TBD)&#039;&#039;&#039;: [[Introduction to the AVR Microcontroller]] - [[User:Mightyohm|Jeff]] and [[User:Maltman23|Mitch]] are planning an introductory class for people wanting to make cool projects with AVRs.&lt;br /&gt;
:&#039;&#039;&#039;(TBD)&#039;&#039;&#039;: [[Basic Chemistry Lab Techniques]]&lt;br /&gt;
:&#039;&#039;&#039;(TBD)&#039;&#039;&#039;: [[Cuddle Puddle for the Economy]] - Stress-hacking with informal massage exchange.&lt;br /&gt;
:&#039;&#039;&#039;(TBD)&#039;&#039;&#039;: [[Milk and Cookies]] - Come read your favorite selections out loud. With Milk and Cookies (and yeah, probably beer too).&lt;br /&gt;
:&#039;&#039;&#039;(TBD)&#039;&#039;&#039;: [[Processing Workshop 2]] - [[User:Scmurray|Scott]] is interested in teaching this, and is busy thinking about what, where, when, why, and how.&lt;br /&gt;
:&#039;&#039;&#039;(TBD)&#039;&#039;&#039;:  [[Hack your Hardware]] -- We call BS on &amp;quot;no user-serviceable parts inside&amp;quot;&lt;br /&gt;
:&#039;&#039;&#039;(TBD)&#039;&#039;&#039;: [[Homebrew Instruction Class]] - The Wort (pt 1/3)&lt;br /&gt;
:&#039;&#039;&#039;(TBD)&#039;&#039;&#039;: [[Trip to Shooting Range]] - Field trip to a shooting range, to shoot guns.  Express interest at [[Trip to Shooting Range]]&lt;br /&gt;
:&#039;&#039;&#039;(TBD)&#039;&#039;&#039;: [[Surface Mount Soldering Workshop]] - Learn how to solder cicuits with small surface mount parts.  [[User:maltman23|Mitch Altman]] and Martin Bogomolni and others will show their tricks.  [[User:maltman23|Mitch]] will bring hackable kits that uses surface mounts for you to solder.&lt;br /&gt;
:&#039;&#039;&#039;(TBD)&#039;&#039;&#039; - [[Locksport and Lockpicking]]&lt;br /&gt;
:&#039;&#039;&#039;(TBD)&#039;&#039;&#039; - [[Version control tutorial]]&lt;br /&gt;
:&#039;&#039;&#039;(TBD)&#039;&#039;&#039; - [[Foreign language learning for rocket scientists]] - I&#039;m near-native (fool people when I try) in (French and) Japanese, and a pro trans/terpreter and will share my shortcuts (skill-order, vocab, speed/articulation, translation≅grammar). No expertise on tonal languages yet... so if you know how to remember tones or how tone-sandhi interacts with speed and/or how nuances of speaker attitude are expressed in them (what we do with rythm/inflection/sentence-intonation and stress in Eng., and with particles and ??? in e.g. Cantonese) please chime in or call me (415-608-0564) so I can convey your wisdom. [also looking for a from-scratch Arabic partner]&lt;br /&gt;
:&#039;&#039;&#039;(TBD)&#039;&#039;&#039;: [[Getting started with Arduino]]&lt;br /&gt;
:&#039;&#039;&#039;(TBD)&#039;&#039;&#039;: [[Distributed Databases]]&lt;br /&gt;
:&#039;&#039;&#039;(TBD)&#039;&#039;&#039;: [[Scrum Club]] - I though I&#039;d test the waters and see if anyone was interested in a noisebridge scrum club details are here http://scrumclub.org/scrum-clubs/ if inturested hit me up twitter: @theabcasian, facebook: http://www.facebook.com/theabcasian&lt;br /&gt;
:&#039;&#039;&#039;(TBD)&#039;&#039;&#039;: [[CNC Mill Workshop]] - Who wants to make stuff on the [[MaxNCMill]]?&lt;br /&gt;
:&#039;&#039;&#039;(TBD)&#039;&#039;&#039;: [[Math &amp;amp; Science Help]] - If you would like some math, science or engineering help, I&#039;m down to lend a hand.&lt;br /&gt;
:&#039;&#039;&#039;(TBD)&#039;&#039;&#039;: [[Cyborg Group|Cyborg Group / Sensebridge]] - Work on projects like artificial senses.  Someone needs to lead this!&lt;br /&gt;
:&#039;&#039;&#039;(TBD)&#039;&#039;&#039;: [[OpenEEG]] - Brain tech. Has historically met on Sundays, at the behest of interested parties.&lt;br /&gt;
:&#039;&#039;&#039;(TBD)&#039;&#039;&#039;: [[Programming_for_Poets | Programming for Poets]] -  Gentle intro to programming using Processing&lt;br /&gt;
:&#039;&#039;&#039;(TBD)&#039;&#039;&#039;: [[World Builders &amp;amp; Simgineers]] -  Work together to create a beautiful &amp;amp; open virtual world &amp;amp; platform.&lt;br /&gt;
:&#039;&#039;&#039;(TBD)&#039;&#039;&#039;: [[PlunderBridge]] -  Metal detecting, detector technology &amp;amp; treasure hunting expeditions.&lt;br /&gt;
:&#039;&#039;&#039;(TBD)&#039;&#039;&#039;: [[Ruby Mining]] -  Ruby on Rails basics, interactive working group&lt;br /&gt;
&lt;br /&gt;
= Past Events =&lt;br /&gt;
===2012===&lt;br /&gt;
*&#039;&#039;&#039;Tuesday Feb. 14th, 18:00 to 20:00&#039;&#039;&#039; ZiP MegaZine releases its inaugural issue with &#039;&#039;&#039;My Noisy Valentine&#039;&#039;&#039; Zine Release Microparty in the Noisebridge cafe. For more info follow [[zine | this]] link.&lt;br /&gt;
&lt;br /&gt;
===2011===&lt;br /&gt;
&lt;br /&gt;
* &#039;&#039;&#039;September 11th 14:00 to 17:00&#039;&#039;&#039; - The San Francisco Chapter of the Open Organisation Of Lockpickers and Bay Area Hacker&#039;s Association present a joint meeting on [https://secure.wikimedia.org/wikipedia/en/wiki/Locksport locksport]&lt;br /&gt;
*&#039;&#039;&#039;August 4, 7PM, Thursday&#039;&#039;&#039; - [http://zeidman.net Bob Zeidman] will be giving a talk on video games and intellectual property, hosted by TheMADE. He will also speak about IP infringement cases.&lt;br /&gt;
*&#039;&#039;&#039;August 9, 6:30PM, Tuesday&#039;&#039;&#039; - [http://www.meetup.com/makesf/events/26413241/ Make:SF] - Chris Jefferies will speak about the wireless sensor kit he is developing and we are bringing back our all star soldering kits.&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
* &#039;&#039;&#039;April 13th, 19:00&#039;&#039;&#039; - Kombucha fermentation class with [[BioBridge]] &lt;br /&gt;
*&#039;&#039;&#039;April 7th, 20:00&#039;&#039;&#039; - [[In-Depth|Noisebridge: In-Depth]] Our monthly lecture and round table. This month&#039;s speaker will be Aragorn! his lecture will be &amp;quot;Anarchism &amp;amp; technology: An unbridgeable chasm&amp;quot;&lt;br /&gt;
*&#039;&#039;&#039;April 4th, 20:00&#039;&#039;&#039; - Camp KDE Party. Come and meet part of the KDE North America community and get a quick overview of this year&#039;s [http://camp.kde.org/ Camp KDE] conference. There will be beer. &lt;br /&gt;
*&#039;&#039;&#039;April 3rd, 16:00&#039;&#039;&#039; - NoiseCaching: Meet-up to build some geocaches, and talk about making geocoins. Then we&#039;ll head out to find some local caches and place caches we made. [http://www.geocaching.com More info about Geocaching here]&lt;br /&gt;
* &#039;&#039;&#039;March 20th, 19:00&#039;&#039;&#039; [[Hack Politics]] meetup -- the first meetup to figure out how we in the hacker community can effectively mobilize and create meaningful change in these interesting times&lt;br /&gt;
* &#039;&#039;&#039;March 12th, 12:00-18:00 - Noisebridge Hackathon!&#039;&#039;&#039; Second Saturday Hackathon is a casual monthly event dedicated to working on the space or relevant projects and building community.  This is a great time to get feedback or help on any projects you have been considering that center around the space, culture, and infrastructure of Noisebridge.  You can also help with existing projects and find out ways to get involved.&lt;br /&gt;
* &#039;&#039;&#039;March 10, Thursday, 19:00 - Group Grammar Clinic&#039;&#039;&#039; - Church Classroom - Donations gladly accepted - A clinic for grammar and writing evaluation. Please bring your web/social or technical writing for us to evaluate. Bring your laptop as well.  Collaboration groupware possibly provided. (Please suggest groupware software to use if you wish). Constructive feedback from other group members is encouraged so that this clinic is a group process. - Facilitator: [[User:Owen|Owen]] (opietro@yahoo.com)&lt;br /&gt;
* &#039;&#039;&#039;March 9th, 20:00&#039;&#039;&#039; - Ferment and filter a mash! [[fermentation logs]]&lt;br /&gt;
&lt;br /&gt;
===2010===&lt;br /&gt;
* &#039;&#039;&#039;Sunday, August 22, 19:00 CLUB-MATE DROPOFF AND TASTING PARTY&#039;&#039;&#039; Nick Farr will be in town to drop off Club-Mate ordered by San Franciscans!&lt;br /&gt;
* &#039;&#039;&#039;June 5th, 12:00-19:00 - [[NoiseBridgeRehab]]&#039;&#039;&#039; - Help make the space more usable and accessible! Noisebridge needs your help!&lt;br /&gt;
* &#039;&#039;&#039;June 5th, 16:00-20:00 - [[Science For Juggalos]]&#039;&#039;&#039; - Science Fair in front of the Warfield Theater teaching magnetism to Juggalos&lt;br /&gt;
* &#039;&#039;&#039;June 6th, 15:00 - [[AVC Meetup]]&#039;&#039;&#039; - Entrepreneurial bonding &amp;amp; matchmaking&lt;br /&gt;
* &#039;&#039;&#039;June 9th, 21:00 - Your liver supports Noisebridge&#039;&#039;&#039; - Come to Elixir @ 16th &amp;amp; Guerrero anytime after 21:00 and drink, drink, drink! 50% of tips go to Noisebridge&lt;br /&gt;
* &#039;&#039;&#039;February 27th, 20:00 - [[Hacker EPROM]]&#039;&#039;&#039; - Noisebridge&#039;s first prom! Nice tie and a (robot) date required. We will have a DJ and punch.&lt;br /&gt;
* &#039;&#039;&#039;February 24th, 19:00, Wednesday - Joris Peels, of [http://www.shapeways.com Shapeways]&#039;&#039;&#039;, and expert on 3D printing, will give a [[ShaperwaysPresentation | talk and demonstration]] at Noisebridge!.&lt;br /&gt;
* &#039;&#039;&#039;February 23rd, 18:00 - Cleaning day&#039;&#039;&#039; - Come and help clean Noisebridge, because everyone loves a clean hack space.&lt;br /&gt;
* &#039;&#039;&#039;February 12th, 21:00 - visit from Steve Jackson&#039;&#039;&#039;. Game designer [http://en.wikipedia.org/wiki/Steve_Jackson_%28US_game_designer%29 Steve Jackson], founder of Steve Jackson Games, will visit Noisebridge.&lt;br /&gt;
* &#039;&#039;&#039;January 27th, 18:00-20:00 - [[beatrixjar event|Circuit Bending Workshop]]&#039;&#039;&#039; - [http://www.beatrixjar.com/ Beatrix*JAR] (contact [[User:Gpvillamil|Gian Pablo]] for more info)&lt;br /&gt;
* &#039;&#039;&#039;January 27th, 20:00-22:00 - [[beatrixjar event|Circuit Bending Performance]]&#039;&#039;&#039; - [http://www.beatrixjar.com/ Beatrix*JAR] - &amp;quot;Celebrate a night of new sound that will change your idea of music forever!&amp;quot;&lt;br /&gt;
* &#039;&#039;&#039;January 25th, 19:30 - [[Bag Porn]]&#039;&#039;&#039; - What&#039;s in your bag?&lt;br /&gt;
* &#039;&#039;&#039;January 20th, 19:00-21:00 - [http://groups.google.com/group/bacat/about Bay Categories &amp;amp; Types]&#039;&#039;&#039; - Categories, monoids, monads, functors and more! Held in the Alonzo Church classroom.&lt;br /&gt;
* &#039;&#039;&#039;January 20th, 19:00 - [[User Experience Book Club SF]]&#039;&#039;&#039; - Our book this month is &amp;quot;A Theory of Fun for Game Design&amp;quot; by Raph Koster - http://is.gd/6sEqw (meets in Turing)&lt;br /&gt;
* &#039;&#039;&#039;January 21st, 20:00 - [[Five Minutes of Fame]]&#039;&#039;&#039; - Monthly set of lightning talks on diverse topics&lt;br /&gt;
* &#039;&#039;&#039;January 22nd, 17:00 - [[CleaningParty| Cleaning Party]]&#039;&#039;&#039; - Come help clean up Noisebridge! Awsum fun!&lt;br /&gt;
* ...January 14th,16th, and 17th 1:00- ??? Build Out day for kitchen/bathroom/laundry bring yourself and a good attitude, learn a few things as well&lt;br /&gt;
* &#039;&#039;&#039;January 15th, 18:00 - [[CNC_Mill_Workshop]]&#039;&#039;&#039; - Learn to use the CNC mill for 2D engraving and circuit board routing&lt;br /&gt;
* Thursdays 17:00 [[ASL Group|American Sign Language]] - Learn how to talk without using your voice (or just come chat in ASL). &amp;lt;small&amp;gt;[http://whenisgood.net/noisebridge/asl/generic click to reschedule]&amp;lt;/small&amp;gt;&lt;br /&gt;
&lt;br /&gt;
===2009===&lt;br /&gt;
* &#039;&#039;&#039;November 18th, 19:30&#039;&#039;&#039; - [[Dorkbot_2009_11_18|Dorkbot]]&lt;br /&gt;
* &#039;&#039;&#039;November 19th, 18:00&#039;&#039;&#039; - [[Mesh meetup]]&lt;br /&gt;
* &#039;&#039;&#039;November 19th, 20:00&#039;&#039;&#039; - [[Five Minutes of Fame]]&lt;br /&gt;
* &#039;&#039;&#039;November 20th, 18:00&#039;&#039;&#039; - Loud Objects [http://www.flickr.com/photos/createdigitalmedia/3428249036/ Noise Toy workshop].&lt;br /&gt;
* &#039;&#039;&#039;November 20th, 20:00&#039;&#039;&#039; - Performance by [http://www.loudobjects.com/ Loud Objects], (featuring Tristan Perich and Lesley Flanigan) and [http://www.myspace.com/jibkidder Jib Kidder].&lt;br /&gt;
:&#039;&#039;&#039;2009-11-05&#039;&#039;&#039; - [http://www.server-sky.com/ Server Sky presentation: Internet and Computation in Orbit] by Keith Lofstrom&lt;br /&gt;
:&#039;&#039;&#039;2009-11-05&#039;&#039;&#039; - [[Mesh meetup]]&lt;br /&gt;
:&#039;&#039;&#039;2009-11-02&#039;&#039;&#039; - [[French]] book club meeting to discuss  [http://www.amazon.com/exec/obidos/tg/detail/-/2842612892/ref=ord_cart_shr?_encoding=UTF8&amp;amp;m=ATVPDKIKX0DER&amp;amp;v=glance Une Si Longue Lettre]&lt;br /&gt;
: &#039;&#039;&#039; October 1st, 18:00&#039;&#039;&#039; - [[Wireless_Mesh_Network_Meetup | Mesh wireless meetup]]&lt;br /&gt;
: &#039;&#039;&#039; October 1st, 19:00&#039;&#039;&#039; - [http://groups.google.com/group/bacat Bay Area Categories and Types]&lt;br /&gt;
: &#039;&#039;&#039;2009-10-03&#039;&#039;&#039; [[Year 1 Open Hacker House]]&lt;br /&gt;
:&#039;&#039;&#039;Friday&#039;&#039;&#039;: [[CrazyCryptoNight]] - Discussion of cryptography for beginners through experts. 6-???&lt;br /&gt;
:&#039;&#039;&#039;Sunday&#039;&#039;&#039; : [[OpenEEG | OpenEEG Hacking]] Sundays, at 3-5pm.&lt;br /&gt;
:&#039;&#039;&#039;Monday&#039;&#039;&#039;: [[German]] - Learn German, all levels. 7pm beginners, 8pm advanced. RSVP 24 hours in advance for the benefit of the instructor. Events ran May-November 2009. Currently on Thursdays at 8. Get on the mailing list.&lt;br /&gt;
:&#039;&#039;&#039;Tuesday&#039;&#039;&#039;: [[Haskell/Haschool]] - Learn Haskell with Jason Dusek.  6PM - 7:30PM, from May until we&#039;re all experts.&lt;br /&gt;
:&#039;&#039;&#039;Wednesday&#039;&#039;&#039;: [[Adobe_Lightroom|Adobe Lightroom]] - Become a more organized photographer. Weekly class (mostly held off site).&lt;br /&gt;
:&#039;&#039;&#039;Thursday&#039;&#039;&#039;: [[Professional VFX Compositing With Adobe After Effects]] - Taught by [[User:SFSlim|Aaron Muszalski]]. 7:30PM - 10PM, most Thursdays in May &amp;amp; June &amp;amp; ? (click through dammit)&lt;br /&gt;
:&#039;&#039;&#039;2009-09-17&#039;&#039;&#039;: [[Five Minutes of Fame]] 3D Edition&lt;br /&gt;
:&#039;&#039;&#039;2009-09-17&#039;&#039;&#039;: [[Wireless Mesh Network Meetup | Mesh wireless meetup]]&lt;br /&gt;
:&#039;&#039;&#039;2009-08-20&#039;&#039;&#039;: [[Five Minutes of Fame]] One Dee Edition&lt;br /&gt;
:&#039;&#039;&#039;2009-07-16&#039;&#039;&#039;: [[Five Minutes of Fame]] Zero Dee&lt;br /&gt;
:&#039;&#039;&#039;2009-07-02 - 2009-07-05&#039;&#039;&#039;: [http://toorcamp.org Toorcamp]&lt;br /&gt;
:&#039;&#039;&#039;2009-07-01&#039;&#039;&#039;: Noisedroid meeting to discuss location logging on Android platform (and other stuff too, I&#039;m sure)&lt;br /&gt;
:&#039;&#039;&#039;2009-06-30&#039;&#039;&#039;: [[Powerbocking Class|Powerbocking class]]&lt;br /&gt;
:&#039;&#039;&#039;2009-06-30&#039;&#039;&#039;: &amp;quot;Suing Telemarketers for Fun and Profit&amp;quot; (Toorcamp talk preview)&lt;br /&gt;
:&#039;&#039;&#039;2009-06-28&#039;&#039;&#039;: &amp;quot;Meditation for Hackers&amp;quot; (Toorcamp workshop preview)&lt;br /&gt;
:&#039;&#039;&#039;2009-06-18&#039;&#039;&#039;: [[Five Minutes of Fame]]&lt;br /&gt;
:&#039;&#039;&#039;2009-06-15&#039;&#039;&#039;: [[Eagle Workshop]]  Session two of the Eagle CAD workshop.&lt;br /&gt;
:&#039;&#039;&#039;2009-06-13&#039;&#039;&#039;: [[RoboGames 2009]] Noisebridge had a booth staffed by vounteers, great fun!&lt;br /&gt;
:&#039;&#039;&#039;2009-05-21&#039;&#039;&#039;: [[Five Minutes of Fame]]&lt;br /&gt;
:&#039;&#039;&#039;2009-04-27&#039;&#039;&#039;: [[EagleCAD workshop]] -- learn to use this CAD tool for printed circuit board design&lt;br /&gt;
:&#039;&#039;&#039;2009-04-16&#039;&#039;&#039;: [[Five Minutes of Fame]] April showers &amp;amp; flowers edition&lt;br /&gt;
:&#039;&#039;&#039;2009-04-11&#039;&#039;&#039;: [[RFID Hacking]] weekend workshop  (this event moved from the original March date)&lt;br /&gt;
:&#039;&#039;&#039;2009-04-05&#039;&#039;&#039;: [[First aid and CPR class]] Learning how to not only not die, but also reduce scarring!&lt;br /&gt;
:&#039;&#039;&#039;2009-04-03&#039;&#039;&#039;: [[Sudo pop]] 2PM and on. Making the first batch of a Noisebridge label yerba mate-niated rootbrew, gratis and DIY&lt;br /&gt;
:&#039;&#039;&#039;2009-03-26&#039;&#039;&#039;: [[OpenEEG | OpenEEG Hacking]] first meet up for this new group: 8 pm&lt;br /&gt;
:&#039;&#039;&#039;2009-03-19&#039;&#039;&#039;: [[Five Minutes of Fame]]&lt;br /&gt;
:&#039;&#039;&#039;2009-03-12&#039;&#039;&#039;: [[OpenBTS and GSM]] talk by David Burgess&lt;br /&gt;
:&#039;&#039;&#039;2009-02-14&#039;&#039;&#039;: [[Open Heart Workshop]] Valentine&#039;s Day blinkyheart soldering party! &lt;br /&gt;
:&#039;&#039;&#039;2009-02-13&#039;&#039;&#039;: [[Time-t_Party|&amp;lt;tt&amp;gt;time_t&amp;lt;/tt&amp;gt; Party]] to celebrate 1,234,567,890 since the Unix epoch.&lt;br /&gt;
:&#039;&#039;&#039;2009-02-09&#039;&#039;&#039;: [[Spanish learning at 8:30]]&lt;br /&gt;
:&#039;&#039;&#039;2009-02-05&#039;&#039;&#039;: [[PGP Key Workshop]]&lt;br /&gt;
:&#039;&#039;&#039;2009-01-31&#039;&#039;&#039;: [[Locksport and Lockpicking]]&lt;br /&gt;
&lt;br /&gt;
===2008===&lt;br /&gt;
:&#039;&#039;&#039;2008-12-27&#039;&#039;&#039;: [[25C3]] Chaos Computer Congress in Berlin&lt;br /&gt;
:&#039;&#039;&#039;2008-12-20 &amp;amp; 21&#039;&#039;&#039;: [[Creme Brulee]] Workshop on creating a french dessert, with bonus propane torch.&lt;br /&gt;
:&#039;&#039;&#039;2008-12-17 20:00&#039;&#039;&#039;: [[Machine Learning]] Birds-of-a-feather&lt;br /&gt;
:&#039;&#039;&#039;2008-11-24&#039;&#039;&#039;: [[Circuit Hacking Monday]] circuit design workshop&lt;br /&gt;
:&#039;&#039;&#039;2008-11-21, 7pm&#039;&#039;&#039;:[[Milk and Cookies]] -- [[User:Dmolnar|David Molnar]] hosts Milk and Cookies at 83C. Bring a short 5-7minute thing to read to others. Bring a potluck cookie/snack/drink if you like. David will bring milk and cookies.&lt;br /&gt;
:&#039;&#039;&#039;2008-11-17, 7:30pm&#039;&#039;&#039;: [[Basic Bicycle Maintain]] - [[User:rubin110|Rubin]] and [[User:rigel|rigel]] hate it when we see a bike that isn&#039;t maintained. Screechy chains and clacking derailleur can go to hell. Basic bike tune up, sharing the smarts on simple things you can do at home to make your ride suck a whole lot less.&lt;br /&gt;
:&#039;&#039;&#039;2008-11-16, 5:00pm&#039;&#039;&#039;: [[RepRap Soldering Party]] - help assemble RepRap!  RSVPs required on wiki! [[User:Adi|adi]]&lt;br /&gt;
:&#039;&#039;&#039;2008-11-16, 3:00pm&#039;&#039;&#039;: [[Oscilloscopes]] - Learn how to use this versatile tool to test electronic circuits.  Maximum 6 slots, please sign up ahead of time! [[User:dstaff|dstaff]]&lt;br /&gt;
:&#039;&#039;&#039;2008-10-31&#039;&#039;&#039;: [[Halloween Open House]] - NoiseBridge&#039;s own [[PPPC]] threw an awesome open house/halloween gala. Post pictures if you got &#039;em!&lt;br /&gt;
:&#039;&#039;&#039;2008-10-25&#039;&#039;&#039;: [[Soldering Workshop]] and Pumpkin Hackin&#039; - Learn to solder for total newbies (or learn to solder better!), including surface mount. Additionally, carve your halloween pumpkins and enjoy some experimental pumpkin pie and/or soup.&lt;br /&gt;
:&#039;&#039;&#039;2008-10-07&#039;&#039;&#039;: (tuesday before meeting) - Etch a circuit board. I&#039;ll be trying a photo resist etching and a basic printed mask etching. This is step 1/3 for a project called &amp;quot;annoying USB thingie&amp;quot; which will execute pre-defined keystrokes by sneaking a tiny USB dongle onto a victim^h^h^h^h^h buddy&#039;s computer.&lt;br /&gt;
:&#039;&#039;&#039;2008-09-13&#039;&#039;&#039;: [[Processing Workshop]] — Learn this very easy-to-use programming language! - [[Processing Workshop Report]]&lt;br /&gt;
:&#039;&#039;&#039;2008-02-16&#039;&#039;&#039;: [[Brain Machine Workshop|Brain Machine Making Workshop]]: Our first hardware sprint!&lt;/div&gt;</summary>
		<author><name>76.126.141.195</name></author>
	</entry>
	<entry>
		<id>https://wiki.extremist.software/index.php?title=Machine_Learning&amp;diff=27149</id>
		<title>Machine Learning</title>
		<link rel="alternate" type="text/html" href="https://wiki.extremist.software/index.php?title=Machine_Learning&amp;diff=27149"/>
		<updated>2012-08-20T05:53:40Z</updated>

		<summary type="html">&lt;p&gt;76.126.141.195: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;=== Next Meeting===&lt;br /&gt;
&lt;br /&gt;
*When: 8/23/2012 @ 7:30pm&lt;br /&gt;
*Where: 2169 Mission St. (back NE corner, Church classroom)&lt;br /&gt;
*Topic: Time series analysis&lt;br /&gt;
*Details: Correlation functions and Fourier Transforms&lt;br /&gt;
*Who: Mike S&lt;br /&gt;
&lt;br /&gt;
=== Take the Noisebridge ML Survey ===&lt;br /&gt;
[http://www.surveymonkey.com/s/W2T9ZB6 Take a survey] and vote for what you want to learn!&lt;br /&gt;
&lt;br /&gt;
=== Crowdsourced Q&amp;amp;A ===&lt;br /&gt;
Are you working on a data mining, machine learning, or statistics problem? Do you want some help? Consider sending an email to the [https://www.noisebridge.net/mailman/listinfo/ml mailing list] about it! Also consider setting up a day to come in and talk about the project you&#039;re working on and get input from &amp;lt;span class=&amp;quot;plainlinks&amp;quot;&amp;gt;[http://www.andrewflusche.com/services/spotsylvania-reckless-driving-defense/&amp;lt;span style=&amp;quot;color:black;font-weight:normal; text-decoration:none!important; background:none!important; text-decoration:none;&amp;quot;&amp;gt;Spotsylvania reckless driving&amp;lt;/span&amp;gt;] other ML people.&lt;br /&gt;
&lt;br /&gt;
=== About Us ===&lt;br /&gt;
We&#039;re a loosely-knit stochastic federation of people who like Noisebridge and like machine learning. What is machine learning? It&#039;s broad field that typically involves training computer models to solve problems. How can you &amp;lt;span class=&amp;quot;plainlinks&amp;quot;&amp;gt;[http://www.monoloop.com&amp;lt;span style=&amp;quot;color:black;font-weight:normal; text-decoration:none!important; background:none!important; text-decoration:none;&amp;quot;&amp;gt;website personalization&amp;lt;/span&amp;gt;] participate? Join the [https://www.noisebridge.net/mailman/listinfo/ml mailing list], send an email and introduce yourself. Show up to the next meeting, share your thoughts. Participate in projects or start your own. Go to workshops, write code at workshops, learn stuff, give workshops of your own! All are welcome.&lt;br /&gt;
&lt;br /&gt;
=== Talks and Workshops ===&lt;br /&gt;
We&#039;ve given lots of workshops and talks over the past year or so, here&#039;s a few. Many of the workshops we&#039;ve given previously are recurring and will be given again, especially upon request!&lt;br /&gt;
*[[NBML/Workshops/Intro to Machine Learning|Intro to Machine Learning]]&lt;br /&gt;
*[[NBML/Workshops/Brief Tour of Statistics|A Brief Tour of Statistics]]&lt;br /&gt;
*[[NBML/Workshops/Generalized Linear Models|Generalized Linear Models]]&lt;br /&gt;
*[[NBML/Workshops/Neural Nets|Neural Nets Workshop]]&lt;br /&gt;
*[[NBML/Workshops/Support Vector Machines|Support Vector Machines]]&lt;br /&gt;
*[[NBML/Workshops/Random Forests|Random Forests]]&lt;br /&gt;
*[[NBML/Workshops/Independent Components Analysis|Independent Components Analysis]]&lt;br /&gt;
*[[NBML/Workshops/Deep Nets|Deep Nets]]&lt;br /&gt;
&lt;br /&gt;
=== Code and SourceForge Site ===&lt;br /&gt;
*We have a [http://sourceforge.net/projects/ml-noisebridge Sourceforge Project]&lt;br /&gt;
*We have a git repository on the project page, accessible as:&lt;br /&gt;
     git clone git://ml-noisebridge.git.sourceforge.net/gitroot/ml-noisebridge/ml-noisebridge&lt;br /&gt;
*Send an email to the list if you want to become an administrator on the site to get write access to the git repo!&lt;br /&gt;
&lt;br /&gt;
=== Future Talks and Topics, Ideas ===&lt;br /&gt;
*Random Forests in R&lt;br /&gt;
*Restricted Boltzmann Machines (Mike S, some day)&lt;br /&gt;
*Analyzing brain cells (Mike S)&lt;br /&gt;
*Deep Nets w/ Stacked Autoencoders (Mike S, some day)&lt;br /&gt;
*Generalized Linear Models (Mike S, Erin L? some day)&lt;br /&gt;
*Graphical Models&lt;br /&gt;
*Working with the Kinect&lt;br /&gt;
*Computer Vision with OpenCV&lt;br /&gt;
&lt;br /&gt;
=== Mailing List ===&lt;br /&gt;
&lt;br /&gt;
https://www.noisebridge.net/mailman/listinfo/ml&lt;br /&gt;
&lt;br /&gt;
=== Projects ===&lt;br /&gt;
*[[Small Group Subproblems]]&lt;br /&gt;
*[[Machine Learning/Fundraising | Fundraising]]&lt;br /&gt;
*[[NBML_Course|Noisebridge Machine Learning Course]]&lt;br /&gt;
*[[Machine Learning/Kaggle Social Network Contest | Kaggle Social Network Contest]]&lt;br /&gt;
*[[KDD Competition 2010]]&lt;br /&gt;
*[[Machine Learning/Kaggle HIV | HIV]]&lt;br /&gt;
&lt;br /&gt;
=== [[Machine_Learning/Datasets|Datasets and Websites]] ===&lt;br /&gt;
*[http://archive.ics.uci.edu/ml/ UCI Machine Learning Repository]&lt;br /&gt;
*[[DataSF.org]]&lt;br /&gt;
*[http://infochimps.com/ Infochimps]&lt;br /&gt;
*[http://www.face-rec.org/databases/ Face Recognition Databases]&lt;br /&gt;
*[http://robjhyndman.com/TSDL/ Time Series Data Library]&lt;br /&gt;
*[http://getthedata.org/ Data Q&amp;amp;A Forum]&lt;br /&gt;
*[http://metaoptimize.com/qa/ Metaoptimize]&lt;br /&gt;
*[http://www.quora.com/Machine-Learning Quora ML Page]&lt;br /&gt;
*[http://www.metoffice.gov.uk/research/climate/climate-monitoring/land-and-atmosphere/surface-station-records A ton of Weather Data]&lt;br /&gt;
*[http://mlcomp.org/ MLcomp]&lt;br /&gt;
**Upload your algorithm and objectively compare it&#039;s performance to other algorithms&lt;br /&gt;
*[http://www.ntis.gov/products/ssa-dmf.aspx Social Security Death Master File!]&lt;br /&gt;
&lt;br /&gt;
=== Software Tools ===&lt;br /&gt;
&lt;br /&gt;
==== Generic ML Libraries ====&lt;br /&gt;
*[http://www.cs.waikato.ac.nz/ml/weka/ Weka]&lt;br /&gt;
**a collection of data mining tools and machine learning algorithms.&lt;br /&gt;
*[http://moa.cs.waikato.ac.nz/ MOA (Massive Online Analysis)]&lt;br /&gt;
**Offshoot of weka, has all online-algorithms&lt;br /&gt;
*[http://scikit-learn.sourceforge.net/ scikits.learn]&lt;br /&gt;
**Machine learning Python package&lt;br /&gt;
*[http://pypi.python.org/pypi/scikits.statsmodels scikits.statsmodels]&lt;br /&gt;
**Statistical models to go with scipy&lt;br /&gt;
*[http://pybrain.org PyBrain]&lt;br /&gt;
**Does feedforward, recurrent, SOM, deep belief nets.&lt;br /&gt;
*[http://www.csie.ntu.edu.tw/~cjlin/libsvm/ LIBSVM]&lt;br /&gt;
**c-based SVM package&lt;br /&gt;
*[http://pyml.sourceforge.net PyML]&lt;br /&gt;
*[http://mdp-toolkit.sourceforge.net/ MDP]&lt;br /&gt;
**Modular framework, has lots of stuff!&lt;br /&gt;
*[[Machine Learning/VirtualBox|VirtualBox]] Virtual Box Image with Pre-installed Libraries listed here&lt;br /&gt;
*[http://deeplearning.net/software/theano/ Theano: Symbolic Expressions and Transparent GPU Integration]&lt;br /&gt;
*[http://sympy.org sympy] Does symbolic math&lt;br /&gt;
*[http://waffles.sourceforge.net/ Waffles]&lt;br /&gt;
**Open source C++ set of machine learning command line tools.&lt;br /&gt;
*[http://rapid-i.com/content/view/181/196/ RapidMiner]&lt;br /&gt;
*[http://www.mrpt.org/ Mobile Robotic Programming Toolkit]&lt;br /&gt;
*[http://nipy.sourceforge.net/nitime/ nitime]&lt;br /&gt;
**NeuroImaging in Python, has some good time series analysis stuff and multi-variate response fitting.&lt;br /&gt;
*[http://pandas.pydata.org/ Pandas]&lt;br /&gt;
**Data analysis workflow in python&lt;br /&gt;
*[http://www.pytables.org/moin PyTables]&lt;br /&gt;
**Adds querying capabilities to HDF5 files&lt;br /&gt;
*[http://statsmodels.sourceforge.net/ statsmodels]&lt;br /&gt;
**Regression, time series analysis, statistics stuff for python&lt;br /&gt;
&lt;br /&gt;
==== Computer Vision ====&lt;br /&gt;
*[http://opencv.willowgarage.com/documentation/index.html OpenCV]&lt;br /&gt;
**Computer Vision Library&lt;br /&gt;
**Has ML component (SVM, trees, etc)&lt;br /&gt;
**Online tutorials [http://www.pages.drexel.edu/~nk752/tutorials.html here]&lt;br /&gt;
&lt;br /&gt;
==== Audio Processing ====&lt;br /&gt;
*[http://tlecomte.github.com/friture/ Friture]&lt;br /&gt;
**Real-time spectrogram generation&lt;br /&gt;
*[http://code.google.com/p/pyo/ pyo]&lt;br /&gt;
**Real-time audio signal processing&lt;br /&gt;
*[https://github.com/jsawruk/pymir PYMir] &lt;br /&gt;
**A library for reading mp3&#039;s into python, and doing analysis &lt;br /&gt;
*[http://wiki.python.org/moin/PythonInMusic List of Sound Tools for Python]&lt;br /&gt;
&lt;br /&gt;
==== Data Visualization ====&lt;br /&gt;
*[http://www.ailab.si/orange/ Orange]&lt;br /&gt;
**Strong data visualization component&lt;br /&gt;
*[http://gephi.org/ Gephi]&lt;br /&gt;
**Graph Visualization&lt;br /&gt;
*[http://had.co.nz/ggplot2/ ggplot]&lt;br /&gt;
**Nice plotting package for R&lt;br /&gt;
*[http://code.enthought.com/projects/mayavi/ MayaVi2]&lt;br /&gt;
**3D Scientific Data Visualization&lt;br /&gt;
&lt;br /&gt;
==== Cluster Computing ====&lt;br /&gt;
*[http://lucene.apache.org/mahout/ Mahout]&lt;br /&gt;
**Hadoop cluster based ML package.&lt;br /&gt;
*[http://web.mit.edu/star/cluster/ STAR: Cluster]&lt;br /&gt;
**Easily build your own Python computing cluster on Amazon EC2&lt;br /&gt;
&lt;br /&gt;
==== Other ====&lt;br /&gt;
*[http://jmlr.csail.mit.edu/mloss/ Journal of Machine Learning Software List]&lt;br /&gt;
&lt;br /&gt;
=== Presentations and other Materials ===&lt;br /&gt;
* [[Awesome Machine Learning Applications]] -- A list of cool applications of ML&lt;br /&gt;
* [[Hands-on Machine Learning]], a presentation [[User:jbm|jbm]] gave on 2009-01-07.&lt;br /&gt;
* http://www.youtube.com/user/StanfordUniversity#g/c/A89DCFA6ADACE599 Stanford Machine Learning online course videos]&lt;br /&gt;
* [[Media:Brief_statistics_slides.pdf]], a presentation given on statistics for the machine learning group&lt;br /&gt;
* [http://www.linkedin.com/groupAnswers?viewQuestionAndAnswers=&amp;amp;discussionID=20096092&amp;amp;gid=77616&amp;amp;trk=EML_anet_qa_ttle-0Nt79xs2RVr6JBpnsJt7dBpSBA LinkedIn] discussion on good resources for data mining and predictive analytics&lt;br /&gt;
* [http://www.face-rec.org/algorithms/ Face Recognition Algorithms]&lt;br /&gt;
* [http://www.ics.uci.edu/~welling/classnotes/classnotes.html Max Welling&#039;s ML classnotes]&lt;br /&gt;
&lt;br /&gt;
=== Topics to Learn and Teach ===&lt;br /&gt;
[[NBML Course]] - Noisebridge Machine Learning Curriculum (work-in-progress)&lt;br /&gt;
&lt;br /&gt;
[[CS229]] - The Stanford Machine learning Course @ noisebridge&lt;br /&gt;
&lt;br /&gt;
*Supervised Learning&lt;br /&gt;
**Linear Regression&lt;br /&gt;
**Linear Discriminants&lt;br /&gt;
**Neural Nets/Radial Basis Functions&lt;br /&gt;
**Support Vector Machines&lt;br /&gt;
**Classifier Combination [http://www.cedar.buffalo.edu/~srihari/CSE555/Chap9.Part6.pdf]&lt;br /&gt;
**A basic decision tree builder, recursive and using entropy metrics&lt;br /&gt;
&lt;br /&gt;
*Unsupervised Learning&lt;br /&gt;
**[[Machine_Learning/HMM|Hidden Markov Models]]&lt;br /&gt;
**Clustering: PCA, k-Means, Expectation-Maximization&lt;br /&gt;
**Graphical Modeling&lt;br /&gt;
**Generative Models: gaussian distribution, multinomial distributions, HMMs, Naive Bayes&lt;br /&gt;
**[[Machine_Learning/Deep_Belief_Networks|Deep Belief Networks &amp;amp; Restricted Boltzmann Machines]]&lt;br /&gt;
&lt;br /&gt;
*Reinforcement Learning&lt;br /&gt;
**Temporal Difference Learning&lt;br /&gt;
&lt;br /&gt;
*Math, Probability &amp;amp; Statistics&lt;br /&gt;
**Metric spaces and what they mean&lt;br /&gt;
**Fundamentals of probabilities&lt;br /&gt;
**Decision Theory (Bayesian)&lt;br /&gt;
**Maximum Likelihood&lt;br /&gt;
**Bias/Variance Tradeoff, VC Dimension&lt;br /&gt;
**Bagging, Bootstrap, Jacknife [http://www.cedar.buffalo.edu/~srihari/CSE555/Chap9.Part3.pdf]&lt;br /&gt;
**Information Theory: Entropy, Mutual Information, Gaussian Channels&lt;br /&gt;
**Estimation of Misclassification [http://www.cedar.buffalo.edu/~srihari/CSE555/Chap9.Part5.pdf]&lt;br /&gt;
**No-Free Lunch Theorem [http://www.cedar.buffalo.edu/~srihari/CSE555/Chap9.Part1.pdf]&lt;br /&gt;
&lt;br /&gt;
*Machine Learning SDK&#039;s&lt;br /&gt;
** [http://opencv.willowgarage.com/documentation/index.html OpenCV] ML component (SVM, trees, etc)&lt;br /&gt;
**[http://lucene.apache.org/mahout/ Mahout] a Hadoop cluster based ML package.&lt;br /&gt;
**[http://www.cs.waikato.ac.nz/ml/weka/ Weka] a collection of data mining tools and machine learning algorithms.&lt;br /&gt;
&lt;br /&gt;
*Applications&lt;br /&gt;
** Collective Intelligence &amp;amp; Recommendation Engines&lt;br /&gt;
&lt;br /&gt;
=== [[Machine Learning/Meeting Notes|Meeting Notes]]===&lt;/div&gt;</summary>
		<author><name>76.126.141.195</name></author>
	</entry>
	<entry>
		<id>https://wiki.extremist.software/index.php?title=Machine_Learning&amp;diff=25754</id>
		<title>Machine Learning</title>
		<link rel="alternate" type="text/html" href="https://wiki.extremist.software/index.php?title=Machine_Learning&amp;diff=25754"/>
		<updated>2012-05-30T18:09:14Z</updated>

		<summary type="html">&lt;p&gt;76.126.141.195: /* Next Meeting */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;=== Next Meeting===&lt;br /&gt;
&lt;br /&gt;
*When: 5/31/2012 7:30 PM&lt;br /&gt;
*Where: 2169 Mission St. (back NE corner, Church classroom)&lt;br /&gt;
*Topic: Data-mining the noisebridge-discuss mailing list&lt;br /&gt;
*Details: We&#039;re going to continue hacking away at the nb-discuss data and see what we come up with!&lt;br /&gt;
*Who: Everybody who shows up&lt;br /&gt;
&lt;br /&gt;
=== Take the Noisebridge ML Survey ===&lt;br /&gt;
[http://www.surveymonkey.com/s/W2T9ZB6 Take a survey] and vote for what you want to learn!&lt;br /&gt;
&lt;br /&gt;
=== Crowdsourced Q&amp;amp;A ===&lt;br /&gt;
Are you working on a data mining, machine learning, or statistics problem? Do you want some help? Consider sending an email to the [https://www.noisebridge.net/mailman/listinfo/ml mailing list] about it! Also consider setting up a day to come in and talk about the project you&#039;re working on and get input from &amp;lt;span class=&amp;quot;plainlinks&amp;quot;&amp;gt;[http://www.andrewflusche.com/services/spotsylvania-reckless-driving-defense/&amp;lt;span style=&amp;quot;color:black;font-weight:normal; text-decoration:none!important; background:none!important; text-decoration:none;&amp;quot;&amp;gt;Spotsylvania reckless driving&amp;lt;/span&amp;gt;] other ML people.&lt;br /&gt;
&lt;br /&gt;
=== About Us ===&lt;br /&gt;
We&#039;re a loosely-knit stochastic federation of people who like Noisebridge and like machine learning. What is machine learning? It&#039;s broad field that typically involves training computer models to solve problems. How can you participate? Join the [https://www.noisebridge.net/mailman/listinfo/ml mailing list], send an email and introduce yourself. Show up to the next meeting, share your thoughts. Participate in projects or start your own. Go to workshops, write code at workshops, learn stuff, give workshops of your own! All are welcome.&lt;br /&gt;
&lt;br /&gt;
=== Talks and Workshops ===&lt;br /&gt;
We&#039;ve given lots of workshops and talks over the past year or so, here&#039;s a few. Many of the workshops we&#039;ve given previously are recurring and will be given again, especially upon request!&lt;br /&gt;
*[[NBML/Workshops/Intro to Machine Learning|Intro to Machine Learning]]&lt;br /&gt;
*[[NBML/Workshops/Brief Tour of Statistics|A Brief Tour of Statistics]]&lt;br /&gt;
*[[NBML/Workshops/Generalized Linear Models|Generalized Linear Models]]&lt;br /&gt;
*[[NBML/Workshops/Neural Nets|Neural Nets Workshop]]&lt;br /&gt;
*[[NBML/Workshops/Support Vector Machines|Support Vector Machines]]&lt;br /&gt;
*[[NBML/Workshops/Random Forests|Random Forests]]&lt;br /&gt;
*[[NBML/Workshops/Independent Components Analysis|Independent Components Analysis]]&lt;br /&gt;
*[[NBML/Workshops/Deep Nets|Deep Nets]]&lt;br /&gt;
&lt;br /&gt;
=== Code and SourceForge Site ===&lt;br /&gt;
*We have a [http://sourceforge.net/projects/ml-noisebridge Sourceforge Project]&lt;br /&gt;
*We have a git repository on the project page, accessible as:&lt;br /&gt;
     git clone git://ml-noisebridge.git.sourceforge.net/gitroot/ml-noisebridge/ml-noisebridge&lt;br /&gt;
*Send an email to the list if you want to become an administrator on the site to get write access to the git repo!&lt;br /&gt;
&lt;br /&gt;
=== Future Talks and Topics, Ideas ===&lt;br /&gt;
*Random Forests in R&lt;br /&gt;
*Restricted Boltzmann Machines (Mike S, some day)&lt;br /&gt;
*Analyzing brain cells (Mike S)&lt;br /&gt;
*Deep Nets w/ Stacked Autoencoders (Mike S, some day)&lt;br /&gt;
*Generalized Linear Models (Mike S, Erin L? some day)&lt;br /&gt;
*Graphical Models&lt;br /&gt;
*Working with the Kinect&lt;br /&gt;
*Computer Vision with OpenCV&lt;br /&gt;
&lt;br /&gt;
=== Mailing List ===&lt;br /&gt;
&lt;br /&gt;
https://www.noisebridge.net/mailman/listinfo/ml&lt;br /&gt;
&lt;br /&gt;
=== Projects ===&lt;br /&gt;
*[[Small Group Subproblems]]&lt;br /&gt;
*[[Machine Learning/Fundraising | Fundraising]]&lt;br /&gt;
*[[NBML_Course|Noisebridge Machine Learning Course]]&lt;br /&gt;
*[[Machine Learning/Kaggle Social Network Contest | Kaggle Social Network Contest]]&lt;br /&gt;
*[[KDD Competition 2010]]&lt;br /&gt;
*[[Machine Learning/Kaggle HIV | HIV]]&lt;br /&gt;
&lt;br /&gt;
=== [[Machine_Learning/Datasets|Datasets and Websites]] ===&lt;br /&gt;
*[http://archive.ics.uci.edu/ml/ UCI Machine Learning Repository]&lt;br /&gt;
*[[DataSF.org]]&lt;br /&gt;
*[http://infochimps.com/ Infochimps]&lt;br /&gt;
*[http://www.face-rec.org/databases/ Face Recognition Databases]&lt;br /&gt;
*[http://robjhyndman.com/TSDL/ Time Series Data Library]&lt;br /&gt;
*[http://getthedata.org/ Data Q&amp;amp;A Forum]&lt;br /&gt;
*[http://metaoptimize.com/qa/ Metaoptimize]&lt;br /&gt;
*[http://www.quora.com/Machine-Learning Quora ML Page]&lt;br /&gt;
*[http://www.metoffice.gov.uk/research/climate/climate-monitoring/land-and-atmosphere/surface-station-records A ton of Weather Data]&lt;br /&gt;
*[http://mlcomp.org/ MLcomp]&lt;br /&gt;
**Upload your algorithm and objectively compare it&#039;s performance to other algorithms&lt;br /&gt;
*[http://www.ntis.gov/products/ssa-dmf.aspx Social Security Death Master File!]&lt;br /&gt;
&lt;br /&gt;
=== Software Tools ===&lt;br /&gt;
&lt;br /&gt;
==== Generic ML Libraries ====&lt;br /&gt;
*[http://www.cs.waikato.ac.nz/ml/weka/ Weka]&lt;br /&gt;
**a collection of data mining tools and machine learning algorithms.&lt;br /&gt;
*[http://moa.cs.waikato.ac.nz/ MOA (Massive Online Analysis)]&lt;br /&gt;
**Offshoot of weka, has all online-algorithms&lt;br /&gt;
*[http://scikit-learn.sourceforge.net/ scikits.learn]&lt;br /&gt;
**Machine learning Python package&lt;br /&gt;
*[http://pypi.python.org/pypi/scikits.statsmodels scikits.statsmodels]&lt;br /&gt;
**Statistical models to go with scipy&lt;br /&gt;
*[http://pybrain.org PyBrain]&lt;br /&gt;
**Does feedforward, recurrent, SOM, deep belief nets.&lt;br /&gt;
*[http://www.csie.ntu.edu.tw/~cjlin/libsvm/ LIBSVM]&lt;br /&gt;
**c-based SVM package&lt;br /&gt;
*[http://pyml.sourceforge.net PyML]&lt;br /&gt;
*[http://mdp-toolkit.sourceforge.net/ MDP]&lt;br /&gt;
**Modular framework, has lots of stuff!&lt;br /&gt;
*[[Machine Learning/VirtualBox|VirtualBox]] Virtual Box Image with Pre-installed Libraries listed here&lt;br /&gt;
*[http://deeplearning.net/software/theano/ Theano: Symbolic Expressions and Transparent GPU Integration]&lt;br /&gt;
*[http://sympy.org sympy] Does symbolic math&lt;br /&gt;
*[http://waffles.sourceforge.net/ Waffles]&lt;br /&gt;
**Open source C++ set of machine learning command line tools.&lt;br /&gt;
*[http://rapid-i.com/content/view/181/196/ RapidMiner]&lt;br /&gt;
*[http://www.mrpt.org/ Mobile Robotic Programming Toolkit]&lt;br /&gt;
*[http://nipy.sourceforge.net/nitime/ nitime]&lt;br /&gt;
**NeuroImaging in Python, has some good time series analysis stuff and multi-variate response fitting.&lt;br /&gt;
*[http://pandas.pydata.org/ Pandas]&lt;br /&gt;
**Data analysis workflow in python&lt;br /&gt;
*[http://www.pytables.org/moin PyTables]&lt;br /&gt;
**Adds querying capabilities to HDF5 files&lt;br /&gt;
&lt;br /&gt;
==== Computer Vision ====&lt;br /&gt;
*[http://opencv.willowgarage.com/documentation/index.html OpenCV]&lt;br /&gt;
**Computer Vision Library&lt;br /&gt;
**Has ML component (SVM, trees, etc)&lt;br /&gt;
**Online tutorials [http://www.pages.drexel.edu/~nk752/tutorials.html here]&lt;br /&gt;
&lt;br /&gt;
==== Audio Processing ====&lt;br /&gt;
*[http://tlecomte.github.com/friture/ Friture]&lt;br /&gt;
**Real-time spectrogram generation&lt;br /&gt;
*[http://code.google.com/p/pyo/ pyo]&lt;br /&gt;
**Real-time audio signal processing&lt;br /&gt;
*[https://github.com/jsawruk/pymir PYMir] &lt;br /&gt;
**A library for reading mp3&#039;s into python, and doing analysis &lt;br /&gt;
*[http://wiki.python.org/moin/PythonInMusic List of Sound Tools for Python]&lt;br /&gt;
&lt;br /&gt;
==== Data Visualization ====&lt;br /&gt;
*[http://www.ailab.si/orange/ Orange]&lt;br /&gt;
**Strong data visualization component&lt;br /&gt;
*[http://gephi.org/ Gephi]&lt;br /&gt;
**Graph Visualization&lt;br /&gt;
*[http://had.co.nz/ggplot2/ ggplot]&lt;br /&gt;
**Nice plotting package for R&lt;br /&gt;
*[http://code.enthought.com/projects/mayavi/ MayaVi2]&lt;br /&gt;
**3D Scientific Data Visualization&lt;br /&gt;
&lt;br /&gt;
==== Cluster Computing ====&lt;br /&gt;
*[http://lucene.apache.org/mahout/ Mahout]&lt;br /&gt;
**Hadoop cluster based ML package.&lt;br /&gt;
*[http://web.mit.edu/star/cluster/ STAR: Cluster]&lt;br /&gt;
**Easily build your own Python computing cluster on Amazon EC2&lt;br /&gt;
&lt;br /&gt;
==== Other ====&lt;br /&gt;
*[http://jmlr.csail.mit.edu/mloss/ Journal of Machine Learning Software List]&lt;br /&gt;
&lt;br /&gt;
=== Presentations and other Materials ===&lt;br /&gt;
* [[Awesome Machine Learning Applications]] -- A list of cool applications of ML&lt;br /&gt;
* [[Hands-on Machine Learning]], a presentation [[User:jbm|jbm]] gave on 2009-01-07.&lt;br /&gt;
* http://www.youtube.com/user/StanfordUniversity#g/c/A89DCFA6ADACE599 Stanford Machine Learning online course videos]&lt;br /&gt;
* [[Media:Brief_statistics_slides.pdf]], a presentation given on statistics for the machine learning group&lt;br /&gt;
* [http://www.linkedin.com/groupAnswers?viewQuestionAndAnswers=&amp;amp;discussionID=20096092&amp;amp;gid=77616&amp;amp;trk=EML_anet_qa_ttle-0Nt79xs2RVr6JBpnsJt7dBpSBA LinkedIn] discussion on good resources for data mining and predictive analytics&lt;br /&gt;
* [http://www.face-rec.org/algorithms/ Face Recognition Algorithms]&lt;br /&gt;
* [http://www.ics.uci.edu/~welling/classnotes/classnotes.html Max Welling&#039;s ML classnotes]&lt;br /&gt;
&lt;br /&gt;
=== Topics to Learn and Teach ===&lt;br /&gt;
[[NBML Course]] - Noisebridge Machine Learning Curriculum (work-in-progress)&lt;br /&gt;
&lt;br /&gt;
[[CS229]] - The Stanford Machine learning Course @ noisebridge&lt;br /&gt;
&lt;br /&gt;
*Supervised Learning&lt;br /&gt;
**Linear Regression&lt;br /&gt;
**Linear Discriminants&lt;br /&gt;
**Neural Nets/Radial Basis Functions&lt;br /&gt;
**Support Vector Machines&lt;br /&gt;
**Classifier Combination [http://www.cedar.buffalo.edu/~srihari/CSE555/Chap9.Part6.pdf]&lt;br /&gt;
**A basic decision tree builder, recursive and using entropy metrics&lt;br /&gt;
&lt;br /&gt;
*Unsupervised Learning&lt;br /&gt;
**[[Machine_Learning/HMM|Hidden Markov Models]]&lt;br /&gt;
**Clustering: PCA, k-Means, Expectation-Maximization&lt;br /&gt;
**Graphical Modeling&lt;br /&gt;
**Generative Models: gaussian distribution, multinomial distributions, HMMs, Naive Bayes&lt;br /&gt;
**[[Machine_Learning/Deep_Belief_Networks|Deep Belief Networks &amp;amp; Restricted Boltzmann Machines]]&lt;br /&gt;
&lt;br /&gt;
*Reinforcement Learning&lt;br /&gt;
**Temporal Difference Learning&lt;br /&gt;
&lt;br /&gt;
*Math, Probability &amp;amp; Statistics&lt;br /&gt;
**Metric spaces and what they mean&lt;br /&gt;
**Fundamentals of probabilities&lt;br /&gt;
**Decision Theory (Bayesian)&lt;br /&gt;
**Maximum Likelihood&lt;br /&gt;
**Bias/Variance Tradeoff, VC Dimension&lt;br /&gt;
**Bagging, Bootstrap, Jacknife [http://www.cedar.buffalo.edu/~srihari/CSE555/Chap9.Part3.pdf]&lt;br /&gt;
**Information Theory: Entropy, Mutual Information, Gaussian Channels&lt;br /&gt;
**Estimation of Misclassification [http://www.cedar.buffalo.edu/~srihari/CSE555/Chap9.Part5.pdf]&lt;br /&gt;
**No-Free Lunch Theorem [http://www.cedar.buffalo.edu/~srihari/CSE555/Chap9.Part1.pdf]&lt;br /&gt;
&lt;br /&gt;
*Machine Learning SDK&#039;s&lt;br /&gt;
** [http://opencv.willowgarage.com/documentation/index.html OpenCV] ML component (SVM, trees, etc)&lt;br /&gt;
**[http://lucene.apache.org/mahout/ Mahout] a Hadoop cluster based ML package.&lt;br /&gt;
**[http://www.cs.waikato.ac.nz/ml/weka/ Weka] a collection of data mining tools and machine learning algorithms.&lt;br /&gt;
&lt;br /&gt;
*Applications&lt;br /&gt;
** Collective Intelligence &amp;amp; Recommendation Engines&lt;br /&gt;
&lt;br /&gt;
=== [[Machine Learning/Meeting Notes|Meeting Notes]]===&lt;/div&gt;</summary>
		<author><name>76.126.141.195</name></author>
	</entry>
	<entry>
		<id>https://wiki.extremist.software/index.php?title=Machine_Learning&amp;diff=25672</id>
		<title>Machine Learning</title>
		<link rel="alternate" type="text/html" href="https://wiki.extremist.software/index.php?title=Machine_Learning&amp;diff=25672"/>
		<updated>2012-05-26T16:46:22Z</updated>

		<summary type="html">&lt;p&gt;76.126.141.195: /* Next Meeting */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;=== Next Meeting===&lt;br /&gt;
&lt;br /&gt;
*When: 6/1/2012 7:30 PM&lt;br /&gt;
*Where: 2169 Mission St. (back NE corner, Church classroom)&lt;br /&gt;
*Topic: Data-mining the noisebridge-discuss mailing list&lt;br /&gt;
*Details: We&#039;re going to continue hacking away at the nb-discuss data and see what we come up with!&lt;br /&gt;
*Who: Everybody who shows up&lt;br /&gt;
&lt;br /&gt;
=== Take the Noisebridge ML Survey ===&lt;br /&gt;
[http://www.surveymonkey.com/s/W2T9ZB6 Take a survey] and vote for what you want to learn!&lt;br /&gt;
&lt;br /&gt;
=== Crowdsourced Q&amp;amp;A ===&lt;br /&gt;
Are you working on a data mining, machine learning, or statistics problem? Do you want some help? Consider sending an email to the [https://www.noisebridge.net/mailman/listinfo/ml mailing list] about it! Also consider setting up a day to come in and talk about the project you&#039;re working on and get input from &amp;lt;span class=&amp;quot;plainlinks&amp;quot;&amp;gt;[http://www.andrewflusche.com/services/spotsylvania-reckless-driving-defense/&amp;lt;span style=&amp;quot;color:black;font-weight:normal; text-decoration:none!important; background:none!important; text-decoration:none;&amp;quot;&amp;gt;Spotsylvania reckless driving&amp;lt;/span&amp;gt;] other ML people.&lt;br /&gt;
&lt;br /&gt;
=== About Us ===&lt;br /&gt;
We&#039;re a loosely-knit stochastic federation of people who like Noisebridge and like machine learning. What is machine learning? It&#039;s broad field that typically involves training computer models to solve problems. How can you participate? Join the [https://www.noisebridge.net/mailman/listinfo/ml mailing list], send an email and introduce yourself. Show up to the next meeting, share your thoughts. Participate in projects or start your own. Go to workshops, write code at workshops, learn stuff, give workshops of your own! All are welcome.&lt;br /&gt;
&lt;br /&gt;
=== Talks and Workshops ===&lt;br /&gt;
We&#039;ve given lots of workshops and talks over the past year or so, here&#039;s a few. Many of the workshops we&#039;ve given previously are recurring and will be given again, especially upon request!&lt;br /&gt;
*[[NBML/Workshops/Intro to Machine Learning|Intro to Machine Learning]]&lt;br /&gt;
*[[NBML/Workshops/Brief Tour of Statistics|A Brief Tour of Statistics]]&lt;br /&gt;
*[[NBML/Workshops/Generalized Linear Models|Generalized Linear Models]]&lt;br /&gt;
*[[NBML/Workshops/Neural Nets|Neural Nets Workshop]]&lt;br /&gt;
*[[NBML/Workshops/Support Vector Machines|Support Vector Machines]]&lt;br /&gt;
*[[NBML/Workshops/Random Forests|Random Forests]]&lt;br /&gt;
*[[NBML/Workshops/Independent Components Analysis|Independent Components Analysis]]&lt;br /&gt;
*[[NBML/Workshops/Deep Nets|Deep Nets]]&lt;br /&gt;
&lt;br /&gt;
=== Code and SourceForge Site ===&lt;br /&gt;
*We have a [http://sourceforge.net/projects/ml-noisebridge Sourceforge Project]&lt;br /&gt;
*We have a git repository on the project page, accessible as:&lt;br /&gt;
     git clone git://ml-noisebridge.git.sourceforge.net/gitroot/ml-noisebridge/ml-noisebridge&lt;br /&gt;
*Send an email to the list if you want to become an administrator on the site to get write access to the git repo!&lt;br /&gt;
&lt;br /&gt;
=== Future Talks and Topics, Ideas ===&lt;br /&gt;
*Random Forests in R&lt;br /&gt;
*Restricted Boltzmann Machines (Mike S, some day)&lt;br /&gt;
*Analyzing brain cells (Mike S)&lt;br /&gt;
*Deep Nets w/ Stacked Autoencoders (Mike S, some day)&lt;br /&gt;
*Generalized Linear Models (Mike S, Erin L? some day)&lt;br /&gt;
*Graphical Models&lt;br /&gt;
*Working with the Kinect&lt;br /&gt;
*Computer Vision with OpenCV&lt;br /&gt;
&lt;br /&gt;
=== Mailing List ===&lt;br /&gt;
&lt;br /&gt;
https://www.noisebridge.net/mailman/listinfo/ml&lt;br /&gt;
&lt;br /&gt;
=== Projects ===&lt;br /&gt;
*[[Small Group Subproblems]]&lt;br /&gt;
*[[Machine Learning/Fundraising | Fundraising]]&lt;br /&gt;
*[[NBML_Course|Noisebridge Machine Learning Course]]&lt;br /&gt;
*[[Machine Learning/Kaggle Social Network Contest | Kaggle Social Network Contest]]&lt;br /&gt;
*[[KDD Competition 2010]]&lt;br /&gt;
*[[Machine Learning/Kaggle HIV | HIV]]&lt;br /&gt;
&lt;br /&gt;
=== [[Machine_Learning/Datasets|Datasets and Websites]] ===&lt;br /&gt;
*[http://archive.ics.uci.edu/ml/ UCI Machine Learning Repository]&lt;br /&gt;
*[[DataSF.org]]&lt;br /&gt;
*[http://infochimps.com/ Infochimps]&lt;br /&gt;
*[http://www.face-rec.org/databases/ Face Recognition Databases]&lt;br /&gt;
*[http://robjhyndman.com/TSDL/ Time Series Data Library]&lt;br /&gt;
*[http://getthedata.org/ Data Q&amp;amp;A Forum]&lt;br /&gt;
*[http://metaoptimize.com/qa/ Metaoptimize]&lt;br /&gt;
*[http://www.quora.com/Machine-Learning Quora ML Page]&lt;br /&gt;
*[http://www.metoffice.gov.uk/research/climate/climate-monitoring/land-and-atmosphere/surface-station-records A ton of Weather Data]&lt;br /&gt;
*[http://mlcomp.org/ MLcomp]&lt;br /&gt;
**Upload your algorithm and objectively compare it&#039;s performance to other algorithms&lt;br /&gt;
*[http://www.ntis.gov/products/ssa-dmf.aspx Social Security Death Master File!]&lt;br /&gt;
&lt;br /&gt;
=== Software Tools ===&lt;br /&gt;
&lt;br /&gt;
==== Generic ML Libraries ====&lt;br /&gt;
*[http://www.cs.waikato.ac.nz/ml/weka/ Weka]&lt;br /&gt;
**a collection of data mining tools and machine learning algorithms.&lt;br /&gt;
*[http://moa.cs.waikato.ac.nz/ MOA (Massive Online Analysis)]&lt;br /&gt;
**Offshoot of weka, has all online-algorithms&lt;br /&gt;
*[http://scikit-learn.sourceforge.net/ scikits.learn]&lt;br /&gt;
**Machine learning Python package&lt;br /&gt;
*[http://pypi.python.org/pypi/scikits.statsmodels scikits.statsmodels]&lt;br /&gt;
**Statistical models to go with scipy&lt;br /&gt;
*[http://pybrain.org PyBrain]&lt;br /&gt;
**Does feedforward, recurrent, SOM, deep belief nets.&lt;br /&gt;
*[http://www.csie.ntu.edu.tw/~cjlin/libsvm/ LIBSVM]&lt;br /&gt;
**c-based SVM package&lt;br /&gt;
*[http://pyml.sourceforge.net PyML]&lt;br /&gt;
*[http://mdp-toolkit.sourceforge.net/ MDP]&lt;br /&gt;
**Modular framework, has lots of stuff!&lt;br /&gt;
*[[Machine Learning/VirtualBox|VirtualBox]] Virtual Box Image with Pre-installed Libraries listed here&lt;br /&gt;
*[http://deeplearning.net/software/theano/ Theano: Symbolic Expressions and Transparent GPU Integration]&lt;br /&gt;
*[http://sympy.org sympy] Does symbolic math&lt;br /&gt;
*[http://waffles.sourceforge.net/ Waffles]&lt;br /&gt;
**Open source C++ set of machine learning command line tools.&lt;br /&gt;
*[http://rapid-i.com/content/view/181/196/ RapidMiner]&lt;br /&gt;
*[http://www.mrpt.org/ Mobile Robotic Programming Toolkit]&lt;br /&gt;
*[http://nipy.sourceforge.net/nitime/ nitime]&lt;br /&gt;
**NeuroImaging in Python, has some good time series analysis stuff and multi-variate response fitting.&lt;br /&gt;
*[http://pandas.pydata.org/ Pandas]&lt;br /&gt;
**Data analysis workflow in python&lt;br /&gt;
*[http://www.pytables.org/moin PyTables]&lt;br /&gt;
**Adds querying capabilities to HDF5 files&lt;br /&gt;
&lt;br /&gt;
==== Computer Vision ====&lt;br /&gt;
*[http://opencv.willowgarage.com/documentation/index.html OpenCV]&lt;br /&gt;
**Computer Vision Library&lt;br /&gt;
**Has ML component (SVM, trees, etc)&lt;br /&gt;
**Online tutorials [http://www.pages.drexel.edu/~nk752/tutorials.html here]&lt;br /&gt;
&lt;br /&gt;
==== Audio Processing ====&lt;br /&gt;
*[http://tlecomte.github.com/friture/ Friture]&lt;br /&gt;
**Real-time spectrogram generation&lt;br /&gt;
*[http://code.google.com/p/pyo/ pyo]&lt;br /&gt;
**Real-time audio signal processing&lt;br /&gt;
*[https://github.com/jsawruk/pymir PYMir] &lt;br /&gt;
**A library for reading mp3&#039;s into python, and doing analysis &lt;br /&gt;
*[http://wiki.python.org/moin/PythonInMusic List of Sound Tools for Python]&lt;br /&gt;
&lt;br /&gt;
==== Data Visualization ====&lt;br /&gt;
*[http://www.ailab.si/orange/ Orange]&lt;br /&gt;
**Strong data visualization component&lt;br /&gt;
*[http://gephi.org/ Gephi]&lt;br /&gt;
**Graph Visualization&lt;br /&gt;
*[http://had.co.nz/ggplot2/ ggplot]&lt;br /&gt;
**Nice plotting package for R&lt;br /&gt;
*[http://code.enthought.com/projects/mayavi/ MayaVi2]&lt;br /&gt;
**3D Scientific Data Visualization&lt;br /&gt;
&lt;br /&gt;
==== Cluster Computing ====&lt;br /&gt;
*[http://lucene.apache.org/mahout/ Mahout]&lt;br /&gt;
**Hadoop cluster based ML package.&lt;br /&gt;
*[http://web.mit.edu/star/cluster/ STAR: Cluster]&lt;br /&gt;
**Easily build your own Python computing cluster on Amazon EC2&lt;br /&gt;
&lt;br /&gt;
==== Other ====&lt;br /&gt;
*[http://jmlr.csail.mit.edu/mloss/ Journal of Machine Learning Software List]&lt;br /&gt;
&lt;br /&gt;
=== Presentations and other Materials ===&lt;br /&gt;
* [[Awesome Machine Learning Applications]] -- A list of cool applications of ML&lt;br /&gt;
* [[Hands-on Machine Learning]], a presentation [[User:jbm|jbm]] gave on 2009-01-07.&lt;br /&gt;
* http://www.youtube.com/user/StanfordUniversity#g/c/A89DCFA6ADACE599 Stanford Machine Learning online course videos]&lt;br /&gt;
* [[Media:Brief_statistics_slides.pdf]], a presentation given on statistics for the machine learning group&lt;br /&gt;
* [http://www.linkedin.com/groupAnswers?viewQuestionAndAnswers=&amp;amp;discussionID=20096092&amp;amp;gid=77616&amp;amp;trk=EML_anet_qa_ttle-0Nt79xs2RVr6JBpnsJt7dBpSBA LinkedIn] discussion on good resources for data mining and predictive analytics&lt;br /&gt;
* [http://www.face-rec.org/algorithms/ Face Recognition Algorithms]&lt;br /&gt;
* [http://www.ics.uci.edu/~welling/classnotes/classnotes.html Max Welling&#039;s ML classnotes]&lt;br /&gt;
&lt;br /&gt;
=== Topics to Learn and Teach ===&lt;br /&gt;
[[NBML Course]] - Noisebridge Machine Learning Curriculum (work-in-progress)&lt;br /&gt;
&lt;br /&gt;
[[CS229]] - The Stanford Machine learning Course @ noisebridge&lt;br /&gt;
&lt;br /&gt;
*Supervised Learning&lt;br /&gt;
**Linear Regression&lt;br /&gt;
**Linear Discriminants&lt;br /&gt;
**Neural Nets/Radial Basis Functions&lt;br /&gt;
**Support Vector Machines&lt;br /&gt;
**Classifier Combination [http://www.cedar.buffalo.edu/~srihari/CSE555/Chap9.Part6.pdf]&lt;br /&gt;
**A basic decision tree builder, recursive and using entropy metrics&lt;br /&gt;
&lt;br /&gt;
*Unsupervised Learning&lt;br /&gt;
**[[Machine_Learning/HMM|Hidden Markov Models]]&lt;br /&gt;
**Clustering: PCA, k-Means, Expectation-Maximization&lt;br /&gt;
**Graphical Modeling&lt;br /&gt;
**Generative Models: gaussian distribution, multinomial distributions, HMMs, Naive Bayes&lt;br /&gt;
**[[Machine_Learning/Deep_Belief_Networks|Deep Belief Networks &amp;amp; Restricted Boltzmann Machines]]&lt;br /&gt;
&lt;br /&gt;
*Reinforcement Learning&lt;br /&gt;
**Temporal Difference Learning&lt;br /&gt;
&lt;br /&gt;
*Math, Probability &amp;amp; Statistics&lt;br /&gt;
**Metric spaces and what they mean&lt;br /&gt;
**Fundamentals of probabilities&lt;br /&gt;
**Decision Theory (Bayesian)&lt;br /&gt;
**Maximum Likelihood&lt;br /&gt;
**Bias/Variance Tradeoff, VC Dimension&lt;br /&gt;
**Bagging, Bootstrap, Jacknife [http://www.cedar.buffalo.edu/~srihari/CSE555/Chap9.Part3.pdf]&lt;br /&gt;
**Information Theory: Entropy, Mutual Information, Gaussian Channels&lt;br /&gt;
**Estimation of Misclassification [http://www.cedar.buffalo.edu/~srihari/CSE555/Chap9.Part5.pdf]&lt;br /&gt;
**No-Free Lunch Theorem [http://www.cedar.buffalo.edu/~srihari/CSE555/Chap9.Part1.pdf]&lt;br /&gt;
&lt;br /&gt;
*Machine Learning SDK&#039;s&lt;br /&gt;
** [http://opencv.willowgarage.com/documentation/index.html OpenCV] ML component (SVM, trees, etc)&lt;br /&gt;
**[http://lucene.apache.org/mahout/ Mahout] a Hadoop cluster based ML package.&lt;br /&gt;
**[http://www.cs.waikato.ac.nz/ml/weka/ Weka] a collection of data mining tools and machine learning algorithms.&lt;br /&gt;
&lt;br /&gt;
*Applications&lt;br /&gt;
** Collective Intelligence &amp;amp; Recommendation Engines&lt;br /&gt;
&lt;br /&gt;
=== [[Machine Learning/Meeting Notes|Meeting Notes]]===&lt;/div&gt;</summary>
		<author><name>76.126.141.195</name></author>
	</entry>
	<entry>
		<id>https://wiki.extremist.software/index.php?title=Machine_Learning&amp;diff=25282</id>
		<title>Machine Learning</title>
		<link rel="alternate" type="text/html" href="https://wiki.extremist.software/index.php?title=Machine_Learning&amp;diff=25282"/>
		<updated>2012-04-29T23:49:52Z</updated>

		<summary type="html">&lt;p&gt;76.126.141.195: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;=== Next Meeting===&lt;br /&gt;
&lt;br /&gt;
*When: 5/3/2012&lt;br /&gt;
*Where: 2169 Mission St. (back corner, Church or Turing classroom, undecided)&lt;br /&gt;
*Topic: Map Reduce, Hadoop, Cloudera&lt;br /&gt;
*Details: Talking about how to effectively set up hadoop clusters on cloudera and use map reduce.&lt;br /&gt;
*Who: Jared D&lt;br /&gt;
&lt;br /&gt;
=== Take the Noisebridge ML Survey ===&lt;br /&gt;
[http://www.surveymonkey.com/s/W2T9ZB6 Take a survey] and vote for what you want to learn!&lt;br /&gt;
&lt;br /&gt;
=== Crowdsourced Q&amp;amp;A ===&lt;br /&gt;
Are you working on a data mining, machine learning, or statistics problem? Do you want some help? Consider sending an email to the [https://www.noisebridge.net/mailman/listinfo/ml mailing list] about it! Also consider setting up a day to come in and talk about the project you&#039;re working on and get input from &amp;lt;span class=&amp;quot;plainlinks&amp;quot;&amp;gt;[http://www.andrewflusche.com/services/spotsylvania-reckless-driving-defense/&amp;lt;span style=&amp;quot;color:black;font-weight:normal; text-decoration:none!important; background:none!important; text-decoration:none;&amp;quot;&amp;gt;Spotsylvania reckless driving&amp;lt;/span&amp;gt;] other ML people.&lt;br /&gt;
&lt;br /&gt;
=== About Us ===&lt;br /&gt;
We&#039;re a loosely-knit stochastic federation of people who like Noisebridge and like machine learning. What is machine learning? It&#039;s broad field that typically involves training computer models to solve problems. How can you participate? Join the [https://www.noisebridge.net/mailman/listinfo/ml mailing list], send an email and introduce yourself. Show up to the next meeting, share your thoughts. Participate in projects or start your own. Go to workshops, write code at workshops, learn stuff, give workshops of your own! All are welcome.&lt;br /&gt;
&lt;br /&gt;
=== Talks and Workshops ===&lt;br /&gt;
We&#039;ve given lots of workshops and talks over the past year or so, here&#039;s a few. Many of the workshops we&#039;ve given previously are recurring and will be given again, especially upon request!&lt;br /&gt;
*[[NBML/Workshops/Intro to Machine Learning|Intro to Machine Learning]]&lt;br /&gt;
*[[NBML/Workshops/Brief Tour of Statistics|A Brief Tour of Statistics]]&lt;br /&gt;
*[[NBML/Workshops/Generalized Linear Models|Generalized Linear Models]]&lt;br /&gt;
*[[NBML/Workshops/Neural Nets|Neural Nets Workshop]]&lt;br /&gt;
*[[NBML/Workshops/Support Vector Machines|Support Vector Machines]]&lt;br /&gt;
*[[NBML/Workshops/Random Forests|Random Forests]]&lt;br /&gt;
*[[NBML/Workshops/Independent Components Analysis|Independent Components Analysis]]&lt;br /&gt;
*[[NBML/Workshops/Deep Nets|Deep Nets]]&lt;br /&gt;
&lt;br /&gt;
=== Code and SourceForge Site ===&lt;br /&gt;
*We have a [http://sourceforge.net/projects/ml-noisebridge Sourceforge Project]&lt;br /&gt;
*We have a git repository on the project page, accessible as:&lt;br /&gt;
     git clone git://ml-noisebridge.git.sourceforge.net/gitroot/ml-noisebridge/ml-noisebridge&lt;br /&gt;
*Send an email to the list if you want to become an administrator on the site to get write access to the git repo!&lt;br /&gt;
&lt;br /&gt;
=== Future Talks and Topics, Ideas ===&lt;br /&gt;
*Random Forests in R&lt;br /&gt;
*Restricted Boltzmann Machines (Mike S, some day)&lt;br /&gt;
*Analyzing brain cells (Mike S)&lt;br /&gt;
*Deep Nets w/ Stacked Autoencoders (Mike S, some day)&lt;br /&gt;
*Generalized Linear Models (Mike S, Erin L? some day)&lt;br /&gt;
*Graphical Models&lt;br /&gt;
*Working with the Kinect&lt;br /&gt;
*Computer Vision with OpenCV&lt;br /&gt;
&lt;br /&gt;
=== Mailing List ===&lt;br /&gt;
&lt;br /&gt;
https://www.noisebridge.net/mailman/listinfo/ml&lt;br /&gt;
&lt;br /&gt;
=== Projects ===&lt;br /&gt;
*[[Small Group Subproblems]]&lt;br /&gt;
*[[Machine Learning/Fundraising | Fundraising]]&lt;br /&gt;
*[[NBML_Course|Noisebridge Machine Learning Course]]&lt;br /&gt;
*[[Machine Learning/Kaggle Social Network Contest | Kaggle Social Network Contest]]&lt;br /&gt;
*[[KDD Competition 2010]]&lt;br /&gt;
*[[Machine Learning/Kaggle HIV | HIV]]&lt;br /&gt;
&lt;br /&gt;
=== [[Machine_Learning/Datasets|Datasets and Websites]] ===&lt;br /&gt;
*[http://archive.ics.uci.edu/ml/ UCI Machine Learning Repository]&lt;br /&gt;
*[[DataSF.org]]&lt;br /&gt;
*[http://infochimps.com/ Infochimps]&lt;br /&gt;
*[http://www.face-rec.org/databases/ Face Recognition Databases]&lt;br /&gt;
*[http://robjhyndman.com/TSDL/ Time Series Data Library]&lt;br /&gt;
*[http://getthedata.org/ Data Q&amp;amp;A Forum]&lt;br /&gt;
*[http://metaoptimize.com/qa/ Metaoptimize]&lt;br /&gt;
*[http://www.quora.com/Machine-Learning Quora ML Page]&lt;br /&gt;
*[http://www.metoffice.gov.uk/research/climate/climate-monitoring/land-and-atmosphere/surface-station-records A ton of Weather Data]&lt;br /&gt;
*[http://mlcomp.org/ MLcomp]&lt;br /&gt;
**Upload your algorithm and objectively compare it&#039;s performance to other algorithms&lt;br /&gt;
*[http://www.ntis.gov/products/ssa-dmf.aspx Social Security Death Master File!]&lt;br /&gt;
&lt;br /&gt;
=== Software Tools ===&lt;br /&gt;
&lt;br /&gt;
==== Generic ML Libraries ====&lt;br /&gt;
*[http://www.cs.waikato.ac.nz/ml/weka/ Weka]&lt;br /&gt;
**a collection of data mining tools and machine learning algorithms.&lt;br /&gt;
*[http://moa.cs.waikato.ac.nz/ MOA (Massive Online Analysis)]&lt;br /&gt;
**Offshoot of weka, has all online-algorithms&lt;br /&gt;
*[http://scikit-learn.sourceforge.net/ scikits.learn]&lt;br /&gt;
**Machine learning Python package&lt;br /&gt;
*[http://pypi.python.org/pypi/scikits.statsmodels scikits.statsmodels]&lt;br /&gt;
**Statistical models to go with scipy&lt;br /&gt;
*[http://pybrain.org PyBrain]&lt;br /&gt;
**Does feedforward, recurrent, SOM, deep belief nets.&lt;br /&gt;
*[http://www.csie.ntu.edu.tw/~cjlin/libsvm/ LIBSVM]&lt;br /&gt;
**c-based SVM package&lt;br /&gt;
*[http://pyml.sourceforge.net PyML]&lt;br /&gt;
*[http://mdp-toolkit.sourceforge.net/ MDP]&lt;br /&gt;
**Modular framework, has lots of stuff!&lt;br /&gt;
*[[Machine Learning/VirtualBox|VirtualBox]] Virtual Box Image with Pre-installed Libraries listed here&lt;br /&gt;
*[http://deeplearning.net/software/theano/ Theano: Symbolic Expressions and Transparent GPU Integration]&lt;br /&gt;
*[http://sympy.org sympy] Does symbolic math&lt;br /&gt;
*[http://waffles.sourceforge.net/ Waffles]&lt;br /&gt;
**Open source C++ set of machine learning command line tools.&lt;br /&gt;
*[http://rapid-i.com/content/view/181/196/ RapidMiner]&lt;br /&gt;
*[http://www.mrpt.org/ Mobile Robotic Programming Toolkit]&lt;br /&gt;
*[http://nipy.sourceforge.net/nitime/ nitime]&lt;br /&gt;
**NeuroImaging in Python, has some good time series analysis stuff and multi-variate response fitting.&lt;br /&gt;
*[http://pandas.pydata.org/ Pandas]&lt;br /&gt;
**Data analysis workflow in python&lt;br /&gt;
*[http://www.pytables.org/moin PyTables]&lt;br /&gt;
**Adds querying capabilities to HDF5 files&lt;br /&gt;
&lt;br /&gt;
==== Computer Vision ====&lt;br /&gt;
*[http://opencv.willowgarage.com/documentation/index.html OpenCV]&lt;br /&gt;
**Computer Vision Library&lt;br /&gt;
**Has ML component (SVM, trees, etc)&lt;br /&gt;
**Online tutorials [http://www.pages.drexel.edu/~nk752/tutorials.html here]&lt;br /&gt;
&lt;br /&gt;
==== Audio Processing ====&lt;br /&gt;
*[http://tlecomte.github.com/friture/ Friture]&lt;br /&gt;
**Real-time spectrogram generation&lt;br /&gt;
*[http://code.google.com/p/pyo/ pyo]&lt;br /&gt;
**Real-time audio signal processing&lt;br /&gt;
*[https://github.com/jsawruk/pymir PYMir] &lt;br /&gt;
**A library for reading mp3&#039;s into python, and doing analysis &lt;br /&gt;
*[http://wiki.python.org/moin/PythonInMusic List of Sound Tools for Python]&lt;br /&gt;
&lt;br /&gt;
==== Data Visualization ====&lt;br /&gt;
*[http://www.ailab.si/orange/ Orange]&lt;br /&gt;
**Strong data visualization component&lt;br /&gt;
*[http://gephi.org/ Gephi]&lt;br /&gt;
**Graph Visualization&lt;br /&gt;
*[http://had.co.nz/ggplot2/ ggplot]&lt;br /&gt;
**Nice plotting package for R&lt;br /&gt;
*[http://code.enthought.com/projects/mayavi/ MayaVi2]&lt;br /&gt;
**3D Scientific Data Visualization&lt;br /&gt;
&lt;br /&gt;
==== Cluster Computing ====&lt;br /&gt;
*[http://lucene.apache.org/mahout/ Mahout]&lt;br /&gt;
**Hadoop cluster based ML package.&lt;br /&gt;
*[http://web.mit.edu/star/cluster/ STAR: Cluster]&lt;br /&gt;
**Easily build your own Python computing cluster on Amazon EC2&lt;br /&gt;
&lt;br /&gt;
==== Other ====&lt;br /&gt;
*[http://jmlr.csail.mit.edu/mloss/ Journal of Machine Learning Software List]&lt;br /&gt;
&lt;br /&gt;
=== Presentations and other Materials ===&lt;br /&gt;
* [[Awesome Machine Learning Applications]] -- A list of cool applications of ML&lt;br /&gt;
* [[Hands-on Machine Learning]], a presentation [[User:jbm|jbm]] gave on 2009-01-07.&lt;br /&gt;
* http://www.youtube.com/user/StanfordUniversity#g/c/A89DCFA6ADACE599 Stanford Machine Learning online course videos]&lt;br /&gt;
* [[Media:Brief_statistics_slides.pdf]], a presentation given on statistics for the machine learning group&lt;br /&gt;
* [http://www.linkedin.com/groupAnswers?viewQuestionAndAnswers=&amp;amp;discussionID=20096092&amp;amp;gid=77616&amp;amp;trk=EML_anet_qa_ttle-0Nt79xs2RVr6JBpnsJt7dBpSBA LinkedIn] discussion on good resources for data mining and predictive analytics&lt;br /&gt;
* [http://www.face-rec.org/algorithms/ Face Recognition Algorithms]&lt;br /&gt;
* [http://www.ics.uci.edu/~welling/classnotes/classnotes.html Max Welling&#039;s ML classnotes]&lt;br /&gt;
&lt;br /&gt;
=== Topics to Learn and Teach ===&lt;br /&gt;
[[NBML Course]] - Noisebridge Machine Learning Curriculum (work-in-progress)&lt;br /&gt;
&lt;br /&gt;
[[CS229]] - The Stanford Machine learning Course @ noisebridge&lt;br /&gt;
&lt;br /&gt;
*Supervised Learning&lt;br /&gt;
**Linear Regression&lt;br /&gt;
**Linear Discriminants&lt;br /&gt;
**Neural Nets/Radial Basis Functions&lt;br /&gt;
**Support Vector Machines&lt;br /&gt;
**Classifier Combination [http://www.cedar.buffalo.edu/~srihari/CSE555/Chap9.Part6.pdf]&lt;br /&gt;
**A basic decision tree builder, recursive and using entropy metrics&lt;br /&gt;
&lt;br /&gt;
*Unsupervised Learning&lt;br /&gt;
**[[Machine_Learning/HMM|Hidden Markov Models]]&lt;br /&gt;
**Clustering: PCA, k-Means, Expectation-Maximization&lt;br /&gt;
**Graphical Modeling&lt;br /&gt;
**Generative Models: gaussian distribution, multinomial distributions, HMMs, Naive Bayes&lt;br /&gt;
**[[Machine_Learning/Deep_Belief_Networks|Deep Belief Networks &amp;amp; Restricted Boltzmann Machines]]&lt;br /&gt;
&lt;br /&gt;
*Reinforcement Learning&lt;br /&gt;
**Temporal Difference Learning&lt;br /&gt;
&lt;br /&gt;
*Math, Probability &amp;amp; Statistics&lt;br /&gt;
**Metric spaces and what they mean&lt;br /&gt;
**Fundamentals of probabilities&lt;br /&gt;
**Decision Theory (Bayesian)&lt;br /&gt;
**Maximum Likelihood&lt;br /&gt;
**Bias/Variance Tradeoff, VC Dimension&lt;br /&gt;
**Bagging, Bootstrap, Jacknife [http://www.cedar.buffalo.edu/~srihari/CSE555/Chap9.Part3.pdf]&lt;br /&gt;
**Information Theory: Entropy, Mutual Information, Gaussian Channels&lt;br /&gt;
**Estimation of Misclassification [http://www.cedar.buffalo.edu/~srihari/CSE555/Chap9.Part5.pdf]&lt;br /&gt;
**No-Free Lunch Theorem [http://www.cedar.buffalo.edu/~srihari/CSE555/Chap9.Part1.pdf]&lt;br /&gt;
&lt;br /&gt;
*Machine Learning SDK&#039;s&lt;br /&gt;
** [http://opencv.willowgarage.com/documentation/index.html OpenCV] ML component (SVM, trees, etc)&lt;br /&gt;
**[http://lucene.apache.org/mahout/ Mahout] a Hadoop cluster based ML package.&lt;br /&gt;
**[http://www.cs.waikato.ac.nz/ml/weka/ Weka] a collection of data mining tools and machine learning algorithms.&lt;br /&gt;
&lt;br /&gt;
*Applications&lt;br /&gt;
** Collective Intelligence &amp;amp; Recommendation Engines&lt;br /&gt;
&lt;br /&gt;
=== [[Machine Learning/Meeting Notes|Meeting Notes]]===&lt;/div&gt;</summary>
		<author><name>76.126.141.195</name></author>
	</entry>
	<entry>
		<id>https://wiki.extremist.software/index.php?title=Machine_Learning&amp;diff=24764</id>
		<title>Machine Learning</title>
		<link rel="alternate" type="text/html" href="https://wiki.extremist.software/index.php?title=Machine_Learning&amp;diff=24764"/>
		<updated>2012-03-19T05:59:25Z</updated>

		<summary type="html">&lt;p&gt;76.126.141.195: /*  Software Tools */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;=== Next Meeting===&lt;br /&gt;
&lt;br /&gt;
*When: 3/8/2012&lt;br /&gt;
*Where: 2169 Mission St. (back corner, Church or Turing classroom, undecided)&lt;br /&gt;
*Topic: Bring your dataset to Noisebridge!&lt;br /&gt;
*Details: Bring in a dataset you&#039;re interested in and share it, get opinions and ideas on how to work with it.&lt;br /&gt;
*Who: Everyone and anyone!&lt;br /&gt;
&lt;br /&gt;
=== Take the Noisebridge ML Survey ===&lt;br /&gt;
[http://www.surveymonkey.com/s/W2T9ZB6 Take a survey] and vote for what you want to learn!&lt;br /&gt;
&lt;br /&gt;
=== Crowdsourced Q&amp;amp;A ===&lt;br /&gt;
Are you working on a data mining, machine learning, or statistics problem? Do you want some help? Consider sending an email to the [https://www.noisebridge.net/mailman/listinfo/ml mailing list] about it! Also consider setting up a day to come in and talk about the project you&#039;re working on and get input from &amp;lt;span class=&amp;quot;plainlinks&amp;quot;&amp;gt;[http://www.andrewflusche.com/services/spotsylvania-reckless-driving-defense/&amp;lt;span style=&amp;quot;color:black;font-weight:normal; text-decoration:none!important; background:none!important; text-decoration:none;&amp;quot;&amp;gt;Spotsylvania reckless driving&amp;lt;/span&amp;gt;] other ML people.&lt;br /&gt;
&lt;br /&gt;
=== About Us ===&lt;br /&gt;
We&#039;re a loosely-knit stochastic federation of people who like Noisebridge and like machine learning. What is machine learning? It&#039;s broad field that typically involves training computer models to solve problems. How can you participate? Join the [https://www.noisebridge.net/mailman/listinfo/ml mailing list], send an email and introduce yourself. Show up to the next meeting, share your thoughts. Participate in projects or start your own. Go to workshops, write code at workshops, learn stuff, give workshops of your own! All are welcome.&lt;br /&gt;
&lt;br /&gt;
=== Talks and Workshops ===&lt;br /&gt;
We&#039;ve given lots of workshops and talks over the past year or so, here&#039;s a few. Many of the workshops we&#039;ve given previously are recurring and will be given again, especially upon request!&lt;br /&gt;
*[[NBML/Workshops/Intro to Machine Learning|Intro to Machine Learning]]&lt;br /&gt;
*[[NBML/Workshops/Brief Tour of Statistics|A Brief Tour of Statistics]]&lt;br /&gt;
*[[NBML/Workshops/Generalized Linear Models|Generalized Linear Models]]&lt;br /&gt;
*[[NBML/Workshops/Neural Nets|Neural Nets Workshop]]&lt;br /&gt;
*[[NBML/Workshops/Support Vector Machines|Support Vector Machines]]&lt;br /&gt;
*[[NBML/Workshops/Random Forests|Random Forests]]&lt;br /&gt;
*[[NBML/Workshops/Independent Components Analysis|Independent Components Analysis]]&lt;br /&gt;
*[[NBML/Workshops/Deep Nets|Deep Nets]]&lt;br /&gt;
&lt;br /&gt;
=== Code and SourceForge Site ===&lt;br /&gt;
*We have a [http://sourceforge.net/projects/ml-noisebridge Sourceforge Project]&lt;br /&gt;
*We have a git repository on the project page, accessible as:&lt;br /&gt;
     git clone git://ml-noisebridge.git.sourceforge.net/gitroot/ml-noisebridge/ml-noisebridge&lt;br /&gt;
*Send an email to the list if you want to become an administrator on the site to get write access to the git repo!&lt;br /&gt;
&lt;br /&gt;
=== Future Talks and Topics, Ideas ===&lt;br /&gt;
*Random Forests in R (Mike S, 1/26)&lt;br /&gt;
*Restricted Boltzmann Machines (Mike S, some day)&lt;br /&gt;
*Analyzing brain cells (Mike S)&lt;br /&gt;
*Deep Nets w/ Stacked Autoencoders (Mike S, some day)&lt;br /&gt;
*Generalized Linear Models (Mike S, Erin L? some day)&lt;br /&gt;
*Graphical Models&lt;br /&gt;
*Working with the Kinect&lt;br /&gt;
*Computer Vision with OpenCV&lt;br /&gt;
&lt;br /&gt;
=== Mailing List ===&lt;br /&gt;
&lt;br /&gt;
https://www.noisebridge.net/mailman/listinfo/ml&lt;br /&gt;
&lt;br /&gt;
=== Projects ===&lt;br /&gt;
*[[Small Group Subproblems]]&lt;br /&gt;
*[[Machine Learning/Fundraising | Fundraising]]&lt;br /&gt;
*[[NBML_Course|Noisebridge Machine Learning Course]]&lt;br /&gt;
*[[Machine Learning/Kaggle Social Network Contest | Kaggle Social Network Contest]]&lt;br /&gt;
*[[KDD Competition 2010]]&lt;br /&gt;
*[[Machine Learning/Kaggle HIV | HIV]]&lt;br /&gt;
&lt;br /&gt;
=== [[Machine_Learning/Datasets|Datasets and Websites]] ===&lt;br /&gt;
*[http://archive.ics.uci.edu/ml/ UCI Machine Learning Repository]&lt;br /&gt;
*[[DataSF.org]]&lt;br /&gt;
*[http://infochimps.com/ Infochimps]&lt;br /&gt;
*[http://www.face-rec.org/databases/ Face Recognition Databases]&lt;br /&gt;
*[http://robjhyndman.com/TSDL/ Time Series Data Library]&lt;br /&gt;
*[http://getthedata.org/ Data Q&amp;amp;A Forum]&lt;br /&gt;
*[http://metaoptimize.com/qa/ Metaoptimize]&lt;br /&gt;
*[http://www.quora.com/Machine-Learning Quora ML Page]&lt;br /&gt;
*[http://www.metoffice.gov.uk/research/climate/climate-monitoring/land-and-atmosphere/surface-station-records A ton of Weather Data]&lt;br /&gt;
*[http://mlcomp.org/ MLcomp]&lt;br /&gt;
**Upload your algorithm and objectively compare it&#039;s performance to other algorithms&lt;br /&gt;
*[http://www.ntis.gov/products/ssa-dmf.aspx Social Security Death Master File!]&lt;br /&gt;
&lt;br /&gt;
=== [[Machine Learning/Tools | Software Tools]] ===&lt;br /&gt;
*[http://opencv.willowgarage.com/documentation/index.html OpenCV]&lt;br /&gt;
**Computer Vision Library&lt;br /&gt;
**Has ML component (SVM, trees, etc)&lt;br /&gt;
**Online tutorials [http://www.pages.drexel.edu/~nk752/tutorials.html here]&lt;br /&gt;
*[http://lucene.apache.org/mahout/ Mahout]&lt;br /&gt;
**Hadoop cluster based ML package.&lt;br /&gt;
*[http://www.cs.waikato.ac.nz/ml/weka/ Weka]&lt;br /&gt;
**a collection of data mining tools and machine learning algorithms.&lt;br /&gt;
*[http://moa.cs.waikato.ac.nz/ MOA (Massive Online Analysis)]&lt;br /&gt;
**Offshoot of weka, has all online-algorithms&lt;br /&gt;
*[http://scikit-learn.sourceforge.net/ scikits.learn]&lt;br /&gt;
**Machine learning Python package&lt;br /&gt;
*[http://pypi.python.org/pypi/scikits.statsmodels scikits.statsmodels]&lt;br /&gt;
**Statistical models to go with scipy&lt;br /&gt;
*[http://pybrain.org PyBrain]&lt;br /&gt;
**Does feedforward, recurrent, SOM, deep belief nets.&lt;br /&gt;
*[http://www.csie.ntu.edu.tw/~cjlin/libsvm/ LIBSVM]&lt;br /&gt;
**c-based SVM package&lt;br /&gt;
*[http://pyml.sourceforge.net PyML]&lt;br /&gt;
*[http://mdp-toolkit.sourceforge.net/ MDP]&lt;br /&gt;
**Does not stand for Markov Decision Process :(&lt;br /&gt;
*[http://www.ailab.si/orange/ Orange]&lt;br /&gt;
**Strong data visualization component&lt;br /&gt;
*[http://jmlr.csail.mit.edu/mloss/ Journal of Machine Learning Software List]&lt;br /&gt;
*[[Machine Learning/VirtualBox|VirtualBox]] Virtual Box Image with Pre-installed Libraries listed here&lt;br /&gt;
*[http://deeplearning.net/software/theano/ Theano: Symbolic Expressions and Transparent GPU Integration]&lt;br /&gt;
*[http://sympy.org sympy] Does symbolic math&lt;br /&gt;
*[http://waffles.sourceforge.net/ Waffles]&lt;br /&gt;
**Open source C++ set of machine learning command line tools.&lt;br /&gt;
*[http://rapid-i.com/content/view/181/196/ RapidMiner]&lt;br /&gt;
*[http://www.mrpt.org/ Mobile Robotic Programming Toolkit]&lt;br /&gt;
*[http://gephi.org/ Gephi]&lt;br /&gt;
**Graph Visualization&lt;br /&gt;
*[http://had.co.nz/ggplot2/ ggplot]&lt;br /&gt;
**Nice plotting package for R&lt;br /&gt;
*[http://nipy.sourceforge.net/nitime/ nitime]&lt;br /&gt;
**NeuroImaging in Python, has some good time series analysis stuff and multi-variate response fitting.&lt;br /&gt;
*[http://web.mit.edu/star/cluster/ STAR: Cluster]&lt;br /&gt;
**Easily build your own Python computing cluster on Amazon EC2&lt;br /&gt;
*[http://code.enthought.com/projects/mayavi/ MayaVi2]&lt;br /&gt;
**3D Scientific Data Visualization&lt;br /&gt;
&lt;br /&gt;
==== Sound Tools ====&lt;br /&gt;
*[http://tlecomte.github.com/friture/ Friture]&lt;br /&gt;
**Real-time spectrogram generation&lt;br /&gt;
*[http://code.google.com/p/pyo/ pyo]&lt;br /&gt;
**Real-time audio signal processing&lt;br /&gt;
&lt;br /&gt;
=== Presentations and other Materials ===&lt;br /&gt;
* [[Awesome Machine Learning Applications]] -- A list of cool applications of ML&lt;br /&gt;
* [[Hands-on Machine Learning]], a presentation [[User:jbm|jbm]] gave on 2009-01-07.&lt;br /&gt;
* http://www.youtube.com/user/StanfordUniversity#g/c/A89DCFA6ADACE599 Stanford Machine Learning online course videos]&lt;br /&gt;
* [[Media:Brief_statistics_slides.pdf]], a presentation given on statistics for the machine learning group&lt;br /&gt;
* [http://www.linkedin.com/groupAnswers?viewQuestionAndAnswers=&amp;amp;discussionID=20096092&amp;amp;gid=77616&amp;amp;trk=EML_anet_qa_ttle-0Nt79xs2RVr6JBpnsJt7dBpSBA LinkedIn] discussion on good resources for data mining and predictive analytics&lt;br /&gt;
* [http://www.face-rec.org/algorithms/ Face Recognition Algorithms]&lt;br /&gt;
* [http://www.ics.uci.edu/~welling/classnotes/classnotes.html Max Welling&#039;s ML classnotes]&lt;br /&gt;
&lt;br /&gt;
=== Topics to Learn and Teach ===&lt;br /&gt;
[[NBML Course]] - Noisebridge Machine Learning Curriculum (work-in-progress)&lt;br /&gt;
&lt;br /&gt;
[[CS229]] - The Stanford Machine learning Course @ noisebridge&lt;br /&gt;
&lt;br /&gt;
*Supervised Learning&lt;br /&gt;
**Linear Regression&lt;br /&gt;
**Linear Discriminants&lt;br /&gt;
**Neural Nets/Radial Basis Functions&lt;br /&gt;
**Support Vector Machines&lt;br /&gt;
**Classifier Combination [http://www.cedar.buffalo.edu/~srihari/CSE555/Chap9.Part6.pdf]&lt;br /&gt;
**A basic decision tree builder, recursive and using entropy metrics&lt;br /&gt;
&lt;br /&gt;
*Unsupervised Learning&lt;br /&gt;
**[[Machine_Learning/HMM|Hidden Markov Models]]&lt;br /&gt;
**Clustering: PCA, k-Means, Expectation-Maximization&lt;br /&gt;
**Graphical Modeling&lt;br /&gt;
**Generative Models: gaussian distribution, multinomial distributions, HMMs, Naive Bayes&lt;br /&gt;
**[[Machine_Learning/Deep_Belief_Networks|Deep Belief Networks &amp;amp; Restricted Boltzmann Machines]]&lt;br /&gt;
&lt;br /&gt;
*Reinforcement Learning&lt;br /&gt;
**Temporal Difference Learning&lt;br /&gt;
&lt;br /&gt;
*Math, Probability &amp;amp; Statistics&lt;br /&gt;
**Metric spaces and what they mean&lt;br /&gt;
**Fundamentals of probabilities&lt;br /&gt;
**Decision Theory (Bayesian)&lt;br /&gt;
**Maximum Likelihood&lt;br /&gt;
**Bias/Variance Tradeoff, VC Dimension&lt;br /&gt;
**Bagging, Bootstrap, Jacknife [http://www.cedar.buffalo.edu/~srihari/CSE555/Chap9.Part3.pdf]&lt;br /&gt;
**Information Theory: Entropy, Mutual Information, Gaussian Channels&lt;br /&gt;
**Estimation of Misclassification [http://www.cedar.buffalo.edu/~srihari/CSE555/Chap9.Part5.pdf]&lt;br /&gt;
**No-Free Lunch Theorem [http://www.cedar.buffalo.edu/~srihari/CSE555/Chap9.Part1.pdf]&lt;br /&gt;
&lt;br /&gt;
*Machine Learning SDK&#039;s&lt;br /&gt;
** [http://opencv.willowgarage.com/documentation/index.html OpenCV] ML component (SVM, trees, etc)&lt;br /&gt;
**[http://lucene.apache.org/mahout/ Mahout] a Hadoop cluster based ML package.&lt;br /&gt;
**[http://www.cs.waikato.ac.nz/ml/weka/ Weka] a collection of data mining tools and machine learning algorithms.&lt;br /&gt;
&lt;br /&gt;
*Applications&lt;br /&gt;
** Collective Intelligence &amp;amp; Recommendation Engines&lt;br /&gt;
&lt;br /&gt;
=== [[Machine Learning/Meeting Notes|Meeting Notes]]===&lt;/div&gt;</summary>
		<author><name>76.126.141.195</name></author>
	</entry>
	<entry>
		<id>https://wiki.extremist.software/index.php?title=Machine_Learning&amp;diff=24309</id>
		<title>Machine Learning</title>
		<link rel="alternate" type="text/html" href="https://wiki.extremist.software/index.php?title=Machine_Learning&amp;diff=24309"/>
		<updated>2012-03-05T05:58:21Z</updated>

		<summary type="html">&lt;p&gt;76.126.141.195: /* Next Meeting */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;=== Next Meeting===&lt;br /&gt;
&lt;br /&gt;
*When: 3/8/2012&lt;br /&gt;
*Where: 2169 Mission St. (back corner, Church or Turing classroom, undecided)&lt;br /&gt;
*Topic: Bring your dataset to Noisebridge!&lt;br /&gt;
*Details: Bring in a dataset you&#039;re interested in and share it, get opinions and ideas on how to work with it.&lt;br /&gt;
*Who: Everyone and anyone!&lt;br /&gt;
&lt;br /&gt;
=== Take the Noisebridge ML Survey ===&lt;br /&gt;
[http://www.surveymonkey.com/s/W2T9ZB6 Take a survey] and vote for what you want to learn!&lt;br /&gt;
&lt;br /&gt;
=== Crowdsourced Q&amp;amp;A ===&lt;br /&gt;
Are you working on a data mining, machine learning, or statistics problem? Do you want some help? Consider sending an email to the [https://www.noisebridge.net/mailman/listinfo/ml mailing list] about it! Also consider setting up a day to come in and talk about the project you&#039;re working on and get input from &amp;lt;span class=&amp;quot;plainlinks&amp;quot;&amp;gt;[http://www.andrewflusche.com/services/spotsylvania-reckless-driving-defense/&amp;lt;span style=&amp;quot;color:black;font-weight:normal; text-decoration:none!important; background:none!important; text-decoration:none;&amp;quot;&amp;gt;Spotsylvania reckless driving&amp;lt;/span&amp;gt;] other ML people.&lt;br /&gt;
&lt;br /&gt;
=== About Us ===&lt;br /&gt;
We&#039;re a loosely-knit stochastic federation of people who like Noisebridge and like machine learning. What is machine learning? It&#039;s broad field that typically involves training computer models to solve problems. How can you participate? Join the [https://www.noisebridge.net/mailman/listinfo/ml mailing list], send an email and introduce yourself. Show up to the next meeting, share your thoughts. Participate in projects or start your own. Go to workshops, write code at workshops, learn stuff, give workshops of your own! All are welcome.&lt;br /&gt;
&lt;br /&gt;
=== Talks and Workshops ===&lt;br /&gt;
We&#039;ve given lots of workshops and talks over the past year or so, here&#039;s a few. Many of the workshops we&#039;ve given previously are recurring and will be given again, especially upon request!&lt;br /&gt;
*[[NBML/Workshops/Intro to Machine Learning|Intro to Machine Learning]]&lt;br /&gt;
*[[NBML/Workshops/Brief Tour of Statistics|A Brief Tour of Statistics]]&lt;br /&gt;
*[[NBML/Workshops/Generalized Linear Models|Generalized Linear Models]]&lt;br /&gt;
*[[NBML/Workshops/Neural Nets|Neural Nets Workshop]]&lt;br /&gt;
*[[NBML/Workshops/Support Vector Machines|Support Vector Machines]]&lt;br /&gt;
*[[NBML/Workshops/Random Forests|Random Forests]]&lt;br /&gt;
*[[NBML/Workshops/Independent Components Analysis|Independent Components Analysis]]&lt;br /&gt;
*[[NBML/Workshops/Deep Nets|Deep Nets]]&lt;br /&gt;
&lt;br /&gt;
=== Code and SourceForge Site ===&lt;br /&gt;
*We have a [http://sourceforge.net/projects/ml-noisebridge Sourceforge Project]&lt;br /&gt;
*We have a git repository on the project page, accessible as:&lt;br /&gt;
     git clone git://ml-noisebridge.git.sourceforge.net/gitroot/ml-noisebridge/ml-noisebridge&lt;br /&gt;
*Send an email to the list if you want to become an administrator on the site to get write access to the git repo!&lt;br /&gt;
&lt;br /&gt;
=== Future Talks and Topics, Ideas ===&lt;br /&gt;
*Random Forests in R (Mike S, 1/26)&lt;br /&gt;
*Restricted Boltzmann Machines (Mike S, some day)&lt;br /&gt;
*Analyzing brain cells (Mike S)&lt;br /&gt;
*Deep Nets w/ Stacked Autoencoders (Mike S, some day)&lt;br /&gt;
*Generalized Linear Models (Mike S, Erin L? some day)&lt;br /&gt;
*Graphical Models&lt;br /&gt;
*Working with the Kinect&lt;br /&gt;
*Computer Vision with OpenCV&lt;br /&gt;
&lt;br /&gt;
=== Mailing List ===&lt;br /&gt;
&lt;br /&gt;
https://www.noisebridge.net/mailman/listinfo/ml&lt;br /&gt;
&lt;br /&gt;
=== Projects ===&lt;br /&gt;
*[[Small Group Subproblems]]&lt;br /&gt;
*[[Machine Learning/Fundraising | Fundraising]]&lt;br /&gt;
*[[NBML_Course|Noisebridge Machine Learning Course]]&lt;br /&gt;
*[[Machine Learning/Kaggle Social Network Contest | Kaggle Social Network Contest]]&lt;br /&gt;
*[[KDD Competition 2010]]&lt;br /&gt;
*[[Machine Learning/Kaggle HIV | HIV]]&lt;br /&gt;
&lt;br /&gt;
=== [[Machine_Learning/Datasets|Datasets and Websites]] ===&lt;br /&gt;
*[http://archive.ics.uci.edu/ml/ UCI Machine Learning Repository]&lt;br /&gt;
*[[DataSF.org]]&lt;br /&gt;
*[http://infochimps.com/ Infochimps]&lt;br /&gt;
*[http://www.face-rec.org/databases/ Face Recognition Databases]&lt;br /&gt;
*[http://robjhyndman.com/TSDL/ Time Series Data Library]&lt;br /&gt;
*[http://getthedata.org/ Data Q&amp;amp;A Forum]&lt;br /&gt;
*[http://metaoptimize.com/qa/ Metaoptimize]&lt;br /&gt;
*[http://www.quora.com/Machine-Learning Quora ML Page]&lt;br /&gt;
*[http://www.metoffice.gov.uk/research/climate/climate-monitoring/land-and-atmosphere/surface-station-records A ton of Weather Data]&lt;br /&gt;
*[http://mlcomp.org/ MLcomp]&lt;br /&gt;
**Upload your algorithm and objectively compare it&#039;s performance to other algorithms&lt;br /&gt;
&lt;br /&gt;
=== [[Machine Learning/Tools | Software Tools]] ===&lt;br /&gt;
*[http://opencv.willowgarage.com/documentation/index.html OpenCV]&lt;br /&gt;
**Computer Vision Library&lt;br /&gt;
**Has ML component (SVM, trees, etc)&lt;br /&gt;
**Online tutorials [http://www.pages.drexel.edu/~nk752/tutorials.html here]&lt;br /&gt;
*[http://lucene.apache.org/mahout/ Mahout]&lt;br /&gt;
**Hadoop cluster based ML package.&lt;br /&gt;
*[http://www.cs.waikato.ac.nz/ml/weka/ Weka]&lt;br /&gt;
**a collection of data mining tools and machine learning algorithms.&lt;br /&gt;
*[http://moa.cs.waikato.ac.nz/ MOA (Massive Online Analysis)]&lt;br /&gt;
**Offshoot of weka, has all online-algorithms&lt;br /&gt;
*[http://scikit-learn.sourceforge.net/ scikits.learn]&lt;br /&gt;
**Machine learning Python package&lt;br /&gt;
*[http://pypi.python.org/pypi/scikits.statsmodels scikits.statsmodels]&lt;br /&gt;
**Statistical models to go with scipy&lt;br /&gt;
*[http://pybrain.org PyBrain]&lt;br /&gt;
**Does feedforward, recurrent, SOM, deep belief nets.&lt;br /&gt;
*[http://www.csie.ntu.edu.tw/~cjlin/libsvm/ LIBSVM]&lt;br /&gt;
**c-based SVM package&lt;br /&gt;
*[http://pyml.sourceforge.net PyML]&lt;br /&gt;
*[http://mdp-toolkit.sourceforge.net/ MDP]&lt;br /&gt;
**Does not stand for Markov Decision Process :(&lt;br /&gt;
*[http://www.ailab.si/orange/ Orange]&lt;br /&gt;
**Strong data visualization component&lt;br /&gt;
*[http://jmlr.csail.mit.edu/mloss/ Journal of Machine Learning Software List]&lt;br /&gt;
*[[Machine Learning/VirtualBox|VirtualBox]] Virtual Box Image with Pre-installed Libraries listed here&lt;br /&gt;
*[http://deeplearning.net/software/theano/ Theano: Symbolic Expressions and Transparent GPU Integration]&lt;br /&gt;
*[http://sympy.org sympy] Does symbolic math&lt;br /&gt;
*[http://waffles.sourceforge.net/ Waffles]&lt;br /&gt;
**Open source C++ set of machine learning command line tools.&lt;br /&gt;
*[http://rapid-i.com/content/view/181/196/ RapidMiner]&lt;br /&gt;
*[http://www.mrpt.org/ Mobile Robotic Programming Toolkit]&lt;br /&gt;
*[http://gephi.org/ Gephi]&lt;br /&gt;
**Graph Visualization&lt;br /&gt;
*[http://had.co.nz/ggplot2/ ggplot]&lt;br /&gt;
**Nice plotting package for R&lt;br /&gt;
*[http://nipy.sourceforge.net/nitime/ nitime]&lt;br /&gt;
**NeuroImaging in Python, has some good time series analysis stuff and multi-variate response fitting.&lt;br /&gt;
*[http://web.mit.edu/star/cluster/ STAR: Cluster]&lt;br /&gt;
**Easily build your own Python computing cluster on Amazon EC2&lt;br /&gt;
*[http://code.enthought.com/projects/mayavi/ MayaVi2]&lt;br /&gt;
**3D Scientific Data Visualization&lt;br /&gt;
&lt;br /&gt;
=== Presentations and other Materials ===&lt;br /&gt;
* [[Awesome Machine Learning Applications]] -- A list of cool applications of ML&lt;br /&gt;
* [[Hands-on Machine Learning]], a presentation [[User:jbm|jbm]] gave on 2009-01-07.&lt;br /&gt;
* http://www.youtube.com/user/StanfordUniversity#g/c/A89DCFA6ADACE599 Stanford Machine Learning online course videos]&lt;br /&gt;
* [[Media:Brief_statistics_slides.pdf]], a presentation given on statistics for the machine learning group&lt;br /&gt;
* [http://www.linkedin.com/groupAnswers?viewQuestionAndAnswers=&amp;amp;discussionID=20096092&amp;amp;gid=77616&amp;amp;trk=EML_anet_qa_ttle-0Nt79xs2RVr6JBpnsJt7dBpSBA LinkedIn] discussion on good resources for data mining and predictive analytics&lt;br /&gt;
* [http://www.face-rec.org/algorithms/ Face Recognition Algorithms]&lt;br /&gt;
* [http://www.ics.uci.edu/~welling/classnotes/classnotes.html Max Welling&#039;s ML classnotes]&lt;br /&gt;
&lt;br /&gt;
=== Topics to Learn and Teach ===&lt;br /&gt;
[[NBML Course]] - Noisebridge Machine Learning Curriculum (work-in-progress)&lt;br /&gt;
&lt;br /&gt;
[[CS229]] - The Stanford Machine learning Course @ noisebridge&lt;br /&gt;
&lt;br /&gt;
*Supervised Learning&lt;br /&gt;
**Linear Regression&lt;br /&gt;
**Linear Discriminants&lt;br /&gt;
**Neural Nets/Radial Basis Functions&lt;br /&gt;
**Support Vector Machines&lt;br /&gt;
**Classifier Combination [http://www.cedar.buffalo.edu/~srihari/CSE555/Chap9.Part6.pdf]&lt;br /&gt;
**A basic decision tree builder, recursive and using entropy metrics&lt;br /&gt;
&lt;br /&gt;
*Unsupervised Learning&lt;br /&gt;
**[[Machine_Learning/HMM|Hidden Markov Models]]&lt;br /&gt;
**Clustering: PCA, k-Means, Expectation-Maximization&lt;br /&gt;
**Graphical Modeling&lt;br /&gt;
**Generative Models: gaussian distribution, multinomial distributions, HMMs, Naive Bayes&lt;br /&gt;
**[[Machine_Learning/Deep_Belief_Networks|Deep Belief Networks &amp;amp; Restricted Boltzmann Machines]]&lt;br /&gt;
&lt;br /&gt;
*Reinforcement Learning&lt;br /&gt;
**Temporal Difference Learning&lt;br /&gt;
&lt;br /&gt;
*Math, Probability &amp;amp; Statistics&lt;br /&gt;
**Metric spaces and what they mean&lt;br /&gt;
**Fundamentals of probabilities&lt;br /&gt;
**Decision Theory (Bayesian)&lt;br /&gt;
**Maximum Likelihood&lt;br /&gt;
**Bias/Variance Tradeoff, VC Dimension&lt;br /&gt;
**Bagging, Bootstrap, Jacknife [http://www.cedar.buffalo.edu/~srihari/CSE555/Chap9.Part3.pdf]&lt;br /&gt;
**Information Theory: Entropy, Mutual Information, Gaussian Channels&lt;br /&gt;
**Estimation of Misclassification [http://www.cedar.buffalo.edu/~srihari/CSE555/Chap9.Part5.pdf]&lt;br /&gt;
**No-Free Lunch Theorem [http://www.cedar.buffalo.edu/~srihari/CSE555/Chap9.Part1.pdf]&lt;br /&gt;
&lt;br /&gt;
*Machine Learning SDK&#039;s&lt;br /&gt;
** [http://opencv.willowgarage.com/documentation/index.html OpenCV] ML component (SVM, trees, etc)&lt;br /&gt;
**[http://lucene.apache.org/mahout/ Mahout] a Hadoop cluster based ML package.&lt;br /&gt;
**[http://www.cs.waikato.ac.nz/ml/weka/ Weka] a collection of data mining tools and machine learning algorithms.&lt;br /&gt;
&lt;br /&gt;
*Applications&lt;br /&gt;
** Collective Intelligence &amp;amp; Recommendation Engines&lt;br /&gt;
&lt;br /&gt;
=== [[Machine Learning/Meeting Notes|Meeting Notes]]===&lt;/div&gt;</summary>
		<author><name>76.126.141.195</name></author>
	</entry>
	<entry>
		<id>https://wiki.extremist.software/index.php?title=Category:Events&amp;diff=22695</id>
		<title>Category:Events</title>
		<link rel="alternate" type="text/html" href="https://wiki.extremist.software/index.php?title=Category:Events&amp;diff=22695"/>
		<updated>2012-01-16T21:43:28Z</updated>

		<summary type="html">&lt;p&gt;76.126.141.195: /* Recurring Events edit */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;&amp;lt;!-- Note that this page uses transclusion. Content between the &amp;quot;onlyinclude&amp;quot; tags below will be pushed to the main page --&amp;gt;&lt;br /&gt;
Official, Semi-Official, one-off and other events at the Noisebridge space.&lt;br /&gt;
&lt;br /&gt;
=Event Calendar=&lt;br /&gt;
Not all events make it onto this calendar. Many events only make it to the Discussion or Announcements [[Mailinglist | mailing lists]], [[IRC]] or in person at [[:Category:Meeting_Notes | Tuesday meetings]]. Best of all, Noisebridge is about people getting together at the space in San Francisco to do stuff... like in person. Some events just happen.  Pay attention!&lt;br /&gt;
&lt;br /&gt;
If you&#039;d like to host an event yourself, we have advice on  [[Hosting_an_Event|hosting an event]] at Noisebridge.&lt;br /&gt;
&lt;br /&gt;
Event posters are encouraged to crosspost to the Google Calendar. View the  [http://www.google.com/calendar/embed?src=vo3i3c0qtjnkjr2ojasd0ftt8s%40group.calendar.google.com&amp;amp;ctz=America/Los_Angeles Google Calendar], view the [http://www.google.com/calendar/feeds/vo3i3c0qtjnkjr2ojasd0ftt8s%40group.calendar.google.com/public/basic Google Calendar in XML], or the [http://www.google.com/calendar/ical/vo3i3c0qtjnkjr2ojasd0ftt8s%40group.calendar.google.com/public/basic.ics Google Calendar in ical] format.&lt;br /&gt;
&lt;br /&gt;
To post Google Calendar entries for your event, ask on the noisebridge-discuss mailing list.&lt;br /&gt;
&lt;br /&gt;
&amp;lt;!-- Items inside this &amp;quot;onlyinclude&amp;quot; tag will be pushed to the main page --&amp;gt;&amp;lt;onlyinclude&amp;gt;&lt;br /&gt;
=== Upcoming Events &amp;lt;small&amp;gt;[https://www.noisebridge.net/index.php?title=Category:Events&amp;amp;action=edit&amp;amp;section=2 edit]&amp;lt;/small&amp;gt; ===&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
* 16:00-23:30:&#039;&#039;&#039;2012-01-15&#039;&#039;&#039;: [[Android Usability Workshop]] -- How to get your Android phone under your control, not others. &lt;br /&gt;
* 19:00-23:30:&#039;&#039;&#039;2012-01-17&#039;&#039;&#039;: Advanced Mushroom Identification: How to Photograph and Identify Mushrooms Using a Microscope.  This is a hands on workshop that will teach you how to use a microscope to identify mushrooms.  20 nice Meiji microscopes are on loan for this event.  &lt;br /&gt;
* 20:00-22:00:&#039;&#039;&#039;2012-01-19&#039;&#039;&#039;: [http://5mof.net/| Five Minutes of Fame] (5MoF), the Noisebridge monthly variety showcase. Anyone can give a talk for 5 minutes or less on any topic! Tons of fun. Follow the link to sign up and send us your info in advance! Plus, the first issue of the new Noisebridge Zine-in-Progress, [[zine|ZiP]], will be unveiled at this event, with print copies on hand!&lt;br /&gt;
* 20:00-24:00:&#039;&#039;&#039;2012-01-31&#039;&#039;&#039;: &#039;&#039;&#039;Annual Noisebridge Meeting&#039;&#039;&#039;&lt;br /&gt;
*12:00-14:00: &amp;quot;&amp;quot;2012-02-11&amp;quot;&amp;quot;: [[Divine Invasions: Philip K. Dick Class]] Lecture on the writings, life and influence of the cult science fiction author taught by the Free University of SF at 2169 Mission.&lt;br /&gt;
*12:00-14:00: &amp;quot;&amp;quot;2012-02-18&amp;quot;&amp;quot;: [[Divine Invasions: PKD Class two]]&lt;br /&gt;
*12:00-14:00: &amp;quot;&amp;quot;2012-02-25&amp;quot;&amp;quot;: [[Divine Invasions: PKD Class three]]&lt;br /&gt;
*12:00-14:00: &amp;quot;&amp;quot;2012-03-03&amp;quot;&amp;quot;: [[Divine Invasions: PKD Class four]]&lt;br /&gt;
*12:00-14:00: &amp;quot;&amp;quot;2012-03-10&amp;quot;&amp;quot;: [[Divine Invasions: Last class]]&lt;br /&gt;
&lt;br /&gt;
=== Recurring Events &amp;lt;small&amp;gt;[https://www.noisebridge.net/index.php?title=Category:Events&amp;amp;action=edit&amp;amp;section=3 edit]&amp;lt;/small&amp;gt; ===&lt;br /&gt;
&amp;lt;!-- Large turnout events should be written in &#039;&#039;&#039;bold&#039;&#039;&#039;. --&amp;gt;&lt;br /&gt;
* &#039;&#039;&#039;Monday&#039;&#039;&#039;&lt;br /&gt;
** [[House_Keeping#Trash_and_Recycling|Trash Night]]  -  Take out the trash and compost for Tuesday morning!&lt;br /&gt;
&lt;br /&gt;
** 18:00 [[Gamebridge]] Unityversity Unity3D Game Development user group and beginner mentoring. Beginners welcome to learn to make a game in 1 hour!&lt;br /&gt;
&lt;br /&gt;
** &#039;&#039;&#039;19:00 [[Circuit Hacking Mondays]]&#039;&#039;&#039; - Learn to solder! Mitch will bring kits to make cool, hackable things that you can bring home after you make them.  Bring your own projects to hack! There&#039;s now an Audio Hacking Adjunct group that meets along with the Circuit Hackers. &lt;br /&gt;
&lt;br /&gt;
** &#039;&#039;&#039;19:00&#039;&#039;&#039; &#039;&#039;&#039;[[Computer modeling for videogames]]&#039;&#039;&#039; Learn the basic of creating video game environments and characters. Come learn the techniques used in making 3d video games and gain a better understanding of the art pipe line used in current industry video games. Modeling, U.V. lay out and texturing. Software we will go over Maya, 3dstudio Max, blender, Google sketch up and Z-brush. Instructor David Lopez.&lt;br /&gt;
&lt;br /&gt;
** 20:00-22:00 [[Frontend Web Development]] - Learn HTML/CSS/JS. We&#039;ll cover the basics (starting at 19:30) and then go in-depth on different topics every week.&lt;br /&gt;
&lt;br /&gt;
** 20:00 [[Mushroom_cultivation|Mushroom Mondays]] - The art and science of mushroom cultivation.&lt;br /&gt;
&lt;br /&gt;
* &#039;&#039;&#039;Tuesday&#039;&#039;&#039;&lt;br /&gt;
** 15:00 [[Linux System Administration Study Group]] wiki page - Study Linux admining in the Turing classroom; from 15:00 to 18:00 we&#039;re focusing on bash skills that are helpful to people doing homework for a C++ class.&lt;br /&gt;
** 16:30 [[Intro to SQL Databases]] Database programming and design using MySQL. Every Tuesday in Turing classroom.&lt;br /&gt;
** 18:00 [[Tastebridge]] Last Tuesday of every month: Vegan Hacker: Vegan Cooking Class. More info http://www.veganhackerSF.com. &lt;br /&gt;
** 18:00 to 19:30 or so, Intro to assembly language on Linux and introduction to C programming, Turing Classroom ; we&#039;re working on a C program that lets a user work with a todolist file: see it, delete an entry, add an entry, modify an entry; we&#039;re interleaving this work with learning the essentials of the X86 CPU registers and instructions and how to make int 0x80 linux kernel system calls.   &lt;br /&gt;
** 19:00 [[Vegan Hacker]] Monthly Food Hacking, last Tuesday of every month, 7pm. http://www.veganhackersf.com&lt;br /&gt;
&amp;lt;!--On haitus? Pls update ** 19:00 [[Origami|Learn You A Origami!]] - Learn how make folded-paper models. Beginners welcome!--&amp;gt;&lt;br /&gt;
&amp;lt;!-- On hiatus as of 3/29/2011 ** 19:30 [[Probability]] study group --&amp;gt;&lt;br /&gt;
&amp;lt;!-- On hiatus --  pls update 3/29/11 ** 19.30 [[Show and Tell]] -- Show your latest and greatest projects and hacks (working or in-progress), just before the weekly meeting. We meet in the Electronics Lab/Main Space.  --&amp;gt;&lt;br /&gt;
** 19:30 [[Spacebridge]] - Noisebridge&#039;s space program&lt;br /&gt;
** &#039;&#039;&#039;20:00 [[Meetings|Noisebridge Weekly Meeting]]&#039;&#039;&#039; - Introducing new people and events to the space, general discussion, and decision making.&lt;br /&gt;
&amp;lt;!-- ** 21:00 *nix on Thinkpad Anonymous - Come, grab a drink, complain about how it just doesn&#039;t work --&amp;gt;&lt;br /&gt;
* &#039;&#039;&#039;Wednesday&#039;&#039;&#039;&lt;br /&gt;
** 17:00 Introduction to C Programming and assembly on Linux, Turing classroom (review of last Tuesday, preview of next Tuesday) &lt;br /&gt;
** 18:00 Replicator Wednesday! Learn about 3D printing and its implications. &#039;&#039;&#039;Currently in a Workgroup/Demonstrative state&#039;&#039;&#039; (You can still learn, but you may not be able to print hands-on for a few more weeks).&lt;br /&gt;
** 18:00 [[LinuxDiscussion|Linux Discussion]] - Linux meetup in the Turing classroom.&lt;br /&gt;
&amp;lt;!--Weekly? Pls update ** 17:00 [[BarCamp Staff Meeting]]  - Meeting for BarCamp Staff to discuss plans for San Francisco BarCamp.--&amp;gt;&lt;br /&gt;
** 18:00 [[BioBridge]] Practical microbiology - we culture microbes for baking, brewing, fermentation and other yummy purposes. Come play and learn!&lt;br /&gt;
** 19:00 [[PyClass]] - Learn how to program using the Python programming language. New &amp;quot;series&amp;quot; starts December 5th!&lt;br /&gt;
** 19:00 [[SCoW]] - Sewing, Crafting, Or Whatever! Come make cool stuff with geeks.&lt;br /&gt;
** 20:00 [[BACE Timebank]] (2nd Wednesdays) - Help organize community mutual aid by trading in equal time credits.  For more info email mira (at) sfbace.org or to join go to [http://timebank.sfbace.org timebank.sfbace.org].&lt;br /&gt;
* &#039;&#039;&#039;Thursday&#039;&#039;&#039;&lt;br /&gt;
** [[House_Keeping#Trash_and_Recycling|Trash Night]]  - Take out the trash for Friday morning!&lt;br /&gt;
** 18:30 [[Social_Engineers|Social Engineers]] 6.30pm onwards. Noisebridge&#039;s weekly attempt to hack its own social conundrums (including organizing, long-term planning, and consensus) using data, science, and heavy machinery. Email danny@spesh.com or join us on the [https://www.noisebridge.net/mailman/listinfo/socialengineering|mailing list].&lt;br /&gt;
** 19:00 [[Noisedroid/Nights]] - An Android-Themed Co-working Night.&lt;br /&gt;
** 19:00 [[german_corner|German Corner]] Learn and practice speaking German.&lt;br /&gt;
** 21:00 [[Zine|Zine-in-Progress]] - An informal planning &amp;amp; brainstorming session for ZiP, the Noisebridge Zine-in-Progress, convening in the Hackitorium (main work area to the right when you enter from the stairway). The only prerequisite for participation is that you be &#039;&#039;&#039;Excellent.&#039;&#039;&#039; Email anthonyletigre (at) gmail.com.&lt;br /&gt;
* &#039;&#039;&#039;Friday&#039;&#039;&#039; &lt;br /&gt;
&lt;br /&gt;
* &#039;&#039;&#039;Saturday&#039;&#039;&#039;&lt;br /&gt;
**1st Saturdays: 13:00 - to late: 1st [[Replication Calibration]] SF bay area reprap meetup at Noisebridge, in the Main Hall. Bring and show off replicators of all types and stripes.&lt;br /&gt;
** 12:00-18:00 - Noisebridge Hackathon! Second Saturday Hackathon is a casual monthly event dedicated to building community and working on the space or relevant projects. This is a great time to get feedback or help on any projects you have been considering that center around the space, culture, and infrastructure of Noisebridge. You can also help with existing projects and find out ways to get involved. (2nd Saturday)&lt;br /&gt;
* &#039;&#039;&#039;Sunday&#039;&#039;&#039;&lt;br /&gt;
** 13:00 [[PerlStudy]] - Helping each other learn perl and all of it&#039;s goodness.&lt;br /&gt;
** 14:00 [http://baha.bitrot.info/ Bay Area Hacker&#039;s Association - security meeting] (2nd Sundays)&lt;br /&gt;
** 15:00 [[Go]] - Playing of the Go boardgame. On nice days we often take the boards to Dolores Park and play there.&lt;br /&gt;
&amp;lt;!--Happening? pls update ** 17:00 [[Rsync Users Group]] - A twelve step program for those who have poor *nix habits.--&amp;gt;&lt;br /&gt;
** 19:00 [[Hack Politics]] -- 1st and 3rd Sundays of the month.  Hack the political systems.&lt;br /&gt;
&amp;lt;/onlyinclude&amp;gt;&lt;br /&gt;
&lt;br /&gt;
=== Proposed Future Events and Classes ===&lt;br /&gt;
&lt;br /&gt;
:&#039;&#039;&#039;2011-10-15&#039;&#039;&#039;: [[Hackmeet]] - Free unconference and skillshare - https://hackmeet.org/ (11am-6pm)&lt;br /&gt;
:&#039;&#039;&#039;2011-10-16&#039;&#039;&#039;: [[Hackmeet]] - Free unconference and skillshare - https://hackmeet.org/ (11am-6pm)&lt;br /&gt;
:&#039;&#039;&#039;2011-07-13&#039;&#039;&#039;: Around 10am-6pm Small PyPy Sprint (Intro to PyPy core development) - http://pypy.org&lt;br /&gt;
&lt;br /&gt;
:&#039;&#039;&#039;(TBD)&#039;&#039;&#039;: [[Probability]] - Weekly probability study group based on [http://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-041-probabilistic-systems-analysis-and-applied-probability-spring-2006/related-resources/ Fundamentals of Applied Probability Theory] by Al Drake&lt;br /&gt;
:&#039;&#039;&#039;(TBD)&#039;&#039;&#039;: [[German]] - Learn German, all levels. 7pm beginners, 8pm advanced. RSVP 24 hours in advance for the benefit of the instructor. Events ran May-November 2009 on Mondays. Currently on hiatus. Get on the mailing list.&lt;br /&gt;
:&#039;&#039;&#039;(TBD)&#039;&#039;&#039;: [[Mandarin Corner|Mandarin]] - Learn or practice Mandarin, all levels. Also currently on hiatus. Get on the mailing list.&lt;br /&gt;
:&#039;&#039;&#039;(TBD)&#039;&#039;&#039;: [[Movie Night!]] - [[User:ThOMG|Thom]] wants to build community through nerdy sci-fi! (+Bill+Ted+Excellence++)&lt;br /&gt;
:&#039;&#039;&#039;(TBD)&#039;&#039;&#039;: [[Introduction to the AVR Microcontroller]] - [[User:Mightyohm|Jeff]] and [[User:Maltman23|Mitch]] are planning an introductory class for people wanting to make cool projects with AVRs.&lt;br /&gt;
:&#039;&#039;&#039;(TBD)&#039;&#039;&#039;: [[Basic Chemistry Lab Techniques]]&lt;br /&gt;
:&#039;&#039;&#039;(TBD)&#039;&#039;&#039;: [[Cuddle Puddle for the Economy]] - Stress-hacking with informal massage exchange.&lt;br /&gt;
:&#039;&#039;&#039;(TBD)&#039;&#039;&#039;: [[Milk and Cookies]] - Come read your favorite selections out loud. With Milk and Cookies (and yeah, probably beer too).&lt;br /&gt;
:&#039;&#039;&#039;(TBD)&#039;&#039;&#039;: [[Processing Workshop 2]] - [[User:Scmurray|Scott]] is interested in teaching this, and is busy thinking about what, where, when, why, and how.&lt;br /&gt;
:&#039;&#039;&#039;(TBD)&#039;&#039;&#039;:  [[Hack your Hardware]] -- We call BS on &amp;quot;no user-serviceable parts inside&amp;quot;&lt;br /&gt;
:&#039;&#039;&#039;(TBD)&#039;&#039;&#039;: [[Homebrew Instruction Class]] - The Wort (pt 1/3)&lt;br /&gt;
:&#039;&#039;&#039;(TBD)&#039;&#039;&#039;: [[Trip to Shooting Range]] - Field trip to a shooting range, to shoot guns.  Express interest at [[Trip to Shooting Range]]&lt;br /&gt;
:&#039;&#039;&#039;(TBD)&#039;&#039;&#039;: [[Surface Mount Soldering Workshop]] - Learn how to solder cicuits with small surface mount parts.  [[User:maltman23|Mitch Altman]] and Martin Bogomolni and others will show their tricks.  [[User:maltman23|Mitch]] will bring hackable kits that uses surface mounts for you to solder.&lt;br /&gt;
:&#039;&#039;&#039;(TBD)&#039;&#039;&#039; - [[Locksport and Lockpicking]]&lt;br /&gt;
:&#039;&#039;&#039;(TBD)&#039;&#039;&#039; - [[Version control tutorial]]&lt;br /&gt;
:&#039;&#039;&#039;(TBD)&#039;&#039;&#039; - [[Foreign language learning for rocket scientists]] - I&#039;m near-native (fool people when I try) in (French and) Japanese, and a pro trans/terpreter and will share my shortcuts (skill-order, vocab, speed/articulation, translation≅grammar). No expertise on tonal languages yet... so if you know how to remember tones or how tone-sandhi interacts with speed and/or how nuances of speaker attitude are expressed in them (what we do with rythm/inflection/sentence-intonation and stress in Eng., and with particles and ??? in e.g. Cantonese) please chime in or call me (415-608-0564) so I can convey your wisdom. [also looking for a from-scratch Arabic partner]&lt;br /&gt;
:&#039;&#039;&#039;(TBD)&#039;&#039;&#039;: [[Getting started with Arduino]]&lt;br /&gt;
:&#039;&#039;&#039;(TBD)&#039;&#039;&#039;: [[Distributed Databases]]&lt;br /&gt;
:&#039;&#039;&#039;(TBD)&#039;&#039;&#039;: [[Scrum Club]] - I though I&#039;d test the waters and see if anyone was interested in a noisebridge scrum club details are here http://scrumclub.org/scrum-clubs/ if inturested hit me up twitter: @theabcasian, facebook: http://www.facebook.com/theabcasian&lt;br /&gt;
:&#039;&#039;&#039;(TBD)&#039;&#039;&#039;: [[CNC Mill Workshop]] - Who wants to make stuff on the [[MaxNCMill]]?&lt;br /&gt;
:&#039;&#039;&#039;(TBD)&#039;&#039;&#039;: [[Math &amp;amp; Science Help]] - If you would like some math, science or engineering help, I&#039;m down to lend a hand.&lt;br /&gt;
:&#039;&#039;&#039;(TBD)&#039;&#039;&#039;: [[Cyborg Group|Cyborg Group / Sensebridge]] - Work on projects like artificial senses.  Someone needs to lead this!&lt;br /&gt;
:&#039;&#039;&#039;(TBD)&#039;&#039;&#039;: [[OpenEEG]] - Brain tech. Has historically met on Sundays, at the behest of interested parties.&lt;br /&gt;
:&#039;&#039;&#039;(TBD)&#039;&#039;&#039;: [[Programming_for_Poets | Programming for Poets]] -  Gentle intro to programming using Processing&lt;br /&gt;
&lt;br /&gt;
= Past Events =&lt;br /&gt;
===2011===&lt;br /&gt;
&lt;br /&gt;
* &#039;&#039;&#039;September 11th 14:00 to 17:00&#039;&#039;&#039; - The San Francisco Chapter of the Open Organisation Of Lockpickers and Bay Area Hacker&#039;s Association present a joint meeting on [https://secure.wikimedia.org/wikipedia/en/wiki/Locksport locksport]&lt;br /&gt;
*&#039;&#039;&#039;August 4, 7PM, Thursday&#039;&#039;&#039; - [http://zeidman.net Bob Zeidman] will be giving a talk on video games and intellectual property, hosted by TheMADE. He will also speak about IP infringement cases.&lt;br /&gt;
*&#039;&#039;&#039;August 9, 6:30PM, Tuesday&#039;&#039;&#039; - [http://www.meetup.com/makesf/events/26413241/ Make:SF] - Chris Jefferies will speak about the wireless sensor kit he is developing and we are bringing back our all star soldering kits.&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
* &#039;&#039;&#039;April 13th, 19:00&#039;&#039;&#039; - Kombucha fermentation class with [[BioBridge]] &lt;br /&gt;
*&#039;&#039;&#039;April 7th, 20:00&#039;&#039;&#039; - [[In-Depth|Noisebridge: In-Depth]] Our monthly lecture and round table. This month&#039;s speaker will be Aragorn! his lecture will be &amp;quot;Anarchism &amp;amp; technology: An unbridgeable chasm&amp;quot;&lt;br /&gt;
*&#039;&#039;&#039;April 4th, 20:00&#039;&#039;&#039; - Camp KDE Party. Come and meet part of the KDE North America community and get a quick overview of this year&#039;s [http://camp.kde.org/ Camp KDE] conference. There will be beer. &lt;br /&gt;
*&#039;&#039;&#039;April 3rd, 16:00&#039;&#039;&#039; - NoiseCaching: Meet-up to build some geocaches, and talk about making geocoins. Then we&#039;ll head out to find some local caches and place caches we made. [http://www.geocaching.com More info about Geocaching here]&lt;br /&gt;
* &#039;&#039;&#039;March 20th, 19:00&#039;&#039;&#039; [[Hack Politics]] meetup -- the first meetup to figure out how we in the hacker community can effectively mobilize and create meaningful change in these interesting times&lt;br /&gt;
* &#039;&#039;&#039;March 12th, 12:00-18:00 - Noisebridge Hackathon!&#039;&#039;&#039; Second Saturday Hackathon is a casual monthly event dedicated to working on the space or relevant projects and building community.  This is a great time to get feedback or help on any projects you have been considering that center around the space, culture, and infrastructure of Noisebridge.  You can also help with existing projects and find out ways to get involved.&lt;br /&gt;
* &#039;&#039;&#039;March 10, Thursday, 19:00 - Group Grammar Clinic&#039;&#039;&#039; - Church Classroom - Donations gladly accepted - A clinic for grammar and writing evaluation. Please bring your web/social or technical writing for us to evaluate. Bring your laptop as well.  Collaboration groupware possibly provided. (Please suggest groupware software to use if you wish). Constructive feedback from other group members is encouraged so that this clinic is a group process. - Facilitator: [[User:Owen|Owen]] (opietro@yahoo.com)&lt;br /&gt;
* &#039;&#039;&#039;March 9th, 20:00&#039;&#039;&#039; - Ferment and filter a mash! [[fermentation logs]]&lt;br /&gt;
&lt;br /&gt;
===2010===&lt;br /&gt;
* &#039;&#039;&#039;Sunday, August 22, 19:00 CLUB-MATE DROPOFF AND TASTING PARTY&#039;&#039;&#039; Nick Farr will be in town to drop off Club-Mate ordered by San Franciscans!&lt;br /&gt;
* &#039;&#039;&#039;June 5th, 12:00-19:00 - [[NoiseBridgeRehab]]&#039;&#039;&#039; - Help make the space more usable and accessible! Noisebridge needs your help!&lt;br /&gt;
* &#039;&#039;&#039;June 5th, 16:00-20:00 - [[Science For Juggalos]]&#039;&#039;&#039; - Science Fair in front of the Warfield Theater teaching magnetism to Juggalos&lt;br /&gt;
* &#039;&#039;&#039;June 6th, 15:00 - [[AVC Meetup]]&#039;&#039;&#039; - Entrepreneurial bonding &amp;amp; matchmaking&lt;br /&gt;
* &#039;&#039;&#039;June 9th, 21:00 - Your liver supports Noisebridge&#039;&#039;&#039; - Come to Elixir @ 16th &amp;amp; Guerrero anytime after 21:00 and drink, drink, drink! 50% of tips go to Noisebridge&lt;br /&gt;
* &#039;&#039;&#039;February 27th, 20:00 - [[Hacker EPROM]]&#039;&#039;&#039; - Noisebridge&#039;s first prom! Nice tie and a (robot) date required. We will have a DJ and punch.&lt;br /&gt;
* &#039;&#039;&#039;February 24th, 19:00, Wednesday - Joris Peels, of [http://www.shapeways.com Shapeways]&#039;&#039;&#039;, and expert on 3D printing, will give a [[ShaperwaysPresentation | talk and demonstration]] at Noisebridge!.&lt;br /&gt;
* &#039;&#039;&#039;February 23rd, 18:00 - Cleaning day&#039;&#039;&#039; - Come and help clean Noisebridge, because everyone loves a clean hack space.&lt;br /&gt;
* &#039;&#039;&#039;February 12th, 21:00 - visit from Steve Jackson&#039;&#039;&#039;. Game designer [http://en.wikipedia.org/wiki/Steve_Jackson_%28US_game_designer%29 Steve Jackson], founder of Steve Jackson Games, will visit Noisebridge.&lt;br /&gt;
* &#039;&#039;&#039;January 27th, 18:00-20:00 - [[beatrixjar event|Circuit Bending Workshop]]&#039;&#039;&#039; - [http://www.beatrixjar.com/ Beatrix*JAR] (contact [[User:Gpvillamil|Gian Pablo]] for more info)&lt;br /&gt;
* &#039;&#039;&#039;January 27th, 20:00-22:00 - [[beatrixjar event|Circuit Bending Performance]]&#039;&#039;&#039; - [http://www.beatrixjar.com/ Beatrix*JAR] - &amp;quot;Celebrate a night of new sound that will change your idea of music forever!&amp;quot;&lt;br /&gt;
* &#039;&#039;&#039;January 25th, 19:30 - [[Bag Porn]]&#039;&#039;&#039; - What&#039;s in your bag?&lt;br /&gt;
* &#039;&#039;&#039;January 20th, 19:00-21:00 - [http://groups.google.com/group/bacat/about Bay Categories &amp;amp; Types]&#039;&#039;&#039; - Categories, monoids, monads, functors and more! Held in the Alonzo Church classroom.&lt;br /&gt;
* &#039;&#039;&#039;January 20th, 19:00 - [[User Experience Book Club SF]]&#039;&#039;&#039; - Our book this month is &amp;quot;A Theory of Fun for Game Design&amp;quot; by Raph Koster - http://is.gd/6sEqw (meets in Turing)&lt;br /&gt;
* &#039;&#039;&#039;January 21st, 20:00 - [[Five Minutes of Fame]]&#039;&#039;&#039; - Monthly set of lightning talks on diverse topics&lt;br /&gt;
* &#039;&#039;&#039;January 22nd, 17:00 - [[CleaningParty| Cleaning Party]]&#039;&#039;&#039; - Come help clean up Noisebridge! Awsum fun!&lt;br /&gt;
* ...January 14th,16th, and 17th 1:00- ??? Build Out day for kitchen/bathroom/laundry bring yourself and a good attitude, learn a few things as well&lt;br /&gt;
* &#039;&#039;&#039;January 15th, 18:00 - [[CNC_Mill_Workshop]]&#039;&#039;&#039; - Learn to use the CNC mill for 2D engraving and circuit board routing&lt;br /&gt;
* Thursdays 17:00 [[ASL Group|American Sign Language]] - Learn how to talk without using your voice (or just come chat in ASL). &amp;lt;small&amp;gt;[http://whenisgood.net/noisebridge/asl/generic click to reschedule]&amp;lt;/small&amp;gt;&lt;br /&gt;
&lt;br /&gt;
===2009===&lt;br /&gt;
* &#039;&#039;&#039;November 18th, 19:30&#039;&#039;&#039; - [[Dorkbot_2009_11_18|Dorkbot]]&lt;br /&gt;
* &#039;&#039;&#039;November 19th, 18:00&#039;&#039;&#039; - [[Mesh meetup]]&lt;br /&gt;
* &#039;&#039;&#039;November 19th, 20:00&#039;&#039;&#039; - [[Five Minutes of Fame]]&lt;br /&gt;
* &#039;&#039;&#039;November 20th, 18:00&#039;&#039;&#039; - Loud Objects [http://www.flickr.com/photos/createdigitalmedia/3428249036/ Noise Toy workshop].&lt;br /&gt;
* &#039;&#039;&#039;November 20th, 20:00&#039;&#039;&#039; - Performance by [http://www.loudobjects.com/ Loud Objects], (featuring Tristan Perich and Lesley Flanigan) and [http://www.myspace.com/jibkidder Jib Kidder].&lt;br /&gt;
:&#039;&#039;&#039;2009-11-05&#039;&#039;&#039; - [http://www.server-sky.com/ Server Sky presentation: Internet and Computation in Orbit] by Keith Lofstrom&lt;br /&gt;
:&#039;&#039;&#039;2009-11-05&#039;&#039;&#039; - [[Mesh meetup]]&lt;br /&gt;
:&#039;&#039;&#039;2009-11-02&#039;&#039;&#039; - [[French]] book club meeting to discuss  [http://www.amazon.com/exec/obidos/tg/detail/-/2842612892/ref=ord_cart_shr?_encoding=UTF8&amp;amp;m=ATVPDKIKX0DER&amp;amp;v=glance Une Si Longue Lettre]&lt;br /&gt;
: &#039;&#039;&#039; October 1st, 18:00&#039;&#039;&#039; - [[Wireless_Mesh_Network_Meetup | Mesh wireless meetup]]&lt;br /&gt;
: &#039;&#039;&#039; October 1st, 19:00&#039;&#039;&#039; - [http://groups.google.com/group/bacat Bay Area Categories and Types]&lt;br /&gt;
: &#039;&#039;&#039;2009-10-03&#039;&#039;&#039; [[Year 1 Open Hacker House]]&lt;br /&gt;
:&#039;&#039;&#039;Friday&#039;&#039;&#039;: [[CrazyCryptoNight]] - Discussion of cryptography for beginners through experts. 6-???&lt;br /&gt;
:&#039;&#039;&#039;Sunday&#039;&#039;&#039; : [[OpenEEG | OpenEEG Hacking]] Sundays, at 3-5pm.&lt;br /&gt;
:&#039;&#039;&#039;Tuesday&#039;&#039;&#039;: [[Haskell/Haschool]] - Learn Haskell with Jason Dusek.  6PM - 7:30PM, from May until we&#039;re all experts.&lt;br /&gt;
:&#039;&#039;&#039;Wednesday&#039;&#039;&#039;: [[Adobe_Lightroom|Adobe Lightroom]] - Become a more organized photographer. Weekly class (mostly held off site).&lt;br /&gt;
:&#039;&#039;&#039;Thursday&#039;&#039;&#039;: [[Professional VFX Compositing With Adobe After Effects]] - Taught by [[User:SFSlim|Aaron Muszalski]]. 7:30PM - 10PM, most Thursdays in May &amp;amp; June &amp;amp; ? (click through dammit)&lt;br /&gt;
:&#039;&#039;&#039;2009-09-17&#039;&#039;&#039;: [[Five Minutes of Fame]] 3D Edition&lt;br /&gt;
:&#039;&#039;&#039;2009-09-17&#039;&#039;&#039;: [[Wireless Mesh Network Meetup | Mesh wireless meetup]]&lt;br /&gt;
:&#039;&#039;&#039;2009-08-20&#039;&#039;&#039;: [[Five Minutes of Fame]] One Dee Edition&lt;br /&gt;
:&#039;&#039;&#039;2009-07-16&#039;&#039;&#039;: [[Five Minutes of Fame]] Zero Dee&lt;br /&gt;
:&#039;&#039;&#039;2009-07-02 - 2009-07-05&#039;&#039;&#039;: [http://toorcamp.org Toorcamp]&lt;br /&gt;
:&#039;&#039;&#039;2009-07-01&#039;&#039;&#039;: Noisedroid meeting to discuss location logging on Android platform (and other stuff too, I&#039;m sure)&lt;br /&gt;
:&#039;&#039;&#039;2009-06-30&#039;&#039;&#039;: [[Powerbocking Class|Powerbocking class]]&lt;br /&gt;
:&#039;&#039;&#039;2009-06-30&#039;&#039;&#039;: &amp;quot;Suing Telemarketers for Fun and Profit&amp;quot; (Toorcamp talk preview)&lt;br /&gt;
:&#039;&#039;&#039;2009-06-28&#039;&#039;&#039;: &amp;quot;Meditation for Hackers&amp;quot; (Toorcamp workshop preview)&lt;br /&gt;
:&#039;&#039;&#039;2009-06-18&#039;&#039;&#039;: [[Five Minutes of Fame]]&lt;br /&gt;
:&#039;&#039;&#039;2009-06-15&#039;&#039;&#039;: [[Eagle Workshop]]  Session two of the Eagle CAD workshop.&lt;br /&gt;
:&#039;&#039;&#039;2009-06-13&#039;&#039;&#039;: [[RoboGames 2009]] Noisebridge had a booth staffed by vounteers, great fun!&lt;br /&gt;
:&#039;&#039;&#039;2009-05-21&#039;&#039;&#039;: [[Five Minutes of Fame]]&lt;br /&gt;
:&#039;&#039;&#039;2009-04-27&#039;&#039;&#039;: [[EagleCAD workshop]] -- learn to use this CAD tool for printed circuit board design&lt;br /&gt;
:&#039;&#039;&#039;2009-04-16&#039;&#039;&#039;: [[Five Minutes of Fame]] April showers &amp;amp; flowers edition&lt;br /&gt;
:&#039;&#039;&#039;2009-04-11&#039;&#039;&#039;: [[RFID Hacking]] weekend workshop  (this event moved from the original March date)&lt;br /&gt;
:&#039;&#039;&#039;2009-04-05&#039;&#039;&#039;: [[First aid and CPR class]] Learning how to not only not die, but also reduce scarring!&lt;br /&gt;
:&#039;&#039;&#039;2009-04-03&#039;&#039;&#039;: [[Sudo pop]] 2PM and on. Making the first batch of a Noisebridge label yerba mate-niated rootbrew, gratis and DIY&lt;br /&gt;
:&#039;&#039;&#039;2009-03-26&#039;&#039;&#039;: [[OpenEEG | OpenEEG Hacking]] first meet up for this new group: 8 pm&lt;br /&gt;
:&#039;&#039;&#039;2009-03-19&#039;&#039;&#039;: [[Five Minutes of Fame]]&lt;br /&gt;
:&#039;&#039;&#039;2009-03-12&#039;&#039;&#039;: [[OpenBTS and GSM]] talk by David Burgess&lt;br /&gt;
:&#039;&#039;&#039;2009-02-14&#039;&#039;&#039;: [[Open Heart Workshop]] Valentine&#039;s Day blinkyheart soldering party! &lt;br /&gt;
:&#039;&#039;&#039;2009-02-13&#039;&#039;&#039;: [[Time-t_Party|&amp;lt;tt&amp;gt;time_t&amp;lt;/tt&amp;gt; Party]] to celebrate 1,234,567,890 since the Unix epoch.&lt;br /&gt;
:&#039;&#039;&#039;2009-02-09&#039;&#039;&#039;: [[Spanish learning at 8:30]]&lt;br /&gt;
:&#039;&#039;&#039;2009-02-05&#039;&#039;&#039;: [[PGP Key Workshop]]&lt;br /&gt;
:&#039;&#039;&#039;2009-01-31&#039;&#039;&#039;: [[Locksport and Lockpicking]]&lt;br /&gt;
&lt;br /&gt;
===2008===&lt;br /&gt;
:&#039;&#039;&#039;2008-12-27&#039;&#039;&#039;: [[25C3]] Chaos Computer Congress in Berlin&lt;br /&gt;
:&#039;&#039;&#039;2008-12-20 &amp;amp; 21&#039;&#039;&#039;: [[Creme Brulee]] Workshop on creating a french dessert, with bonus propane torch.&lt;br /&gt;
:&#039;&#039;&#039;2008-12-17 20:00&#039;&#039;&#039;: [[Machine Learning]] Birds-of-a-feather&lt;br /&gt;
:&#039;&#039;&#039;2008-11-24&#039;&#039;&#039;: [[Circuit Hacking Monday]] circuit design workshop&lt;br /&gt;
:&#039;&#039;&#039;2008-11-21, 7pm&#039;&#039;&#039;:[[Milk and Cookies]] -- [[User:Dmolnar|David Molnar]] hosts Milk and Cookies at 83C. Bring a short 5-7minute thing to read to others. Bring a potluck cookie/snack/drink if you like. David will bring milk and cookies.&lt;br /&gt;
:&#039;&#039;&#039;2008-11-17, 7:30pm&#039;&#039;&#039;: [[Basic Bicycle Maintain]] - [[User:rubin110|Rubin]] and [[User:rigel|rigel]] hate it when we see a bike that isn&#039;t maintained. Screechy chains and clacking derailleur can go to hell. Basic bike tune up, sharing the smarts on simple things you can do at home to make your ride suck a whole lot less.&lt;br /&gt;
:&#039;&#039;&#039;2008-11-16, 5:00pm&#039;&#039;&#039;: [[RepRap Soldering Party]] - help assemble RepRap!  RSVPs required on wiki! [[User:Adi|adi]]&lt;br /&gt;
:&#039;&#039;&#039;2008-11-16, 3:00pm&#039;&#039;&#039;: [[Oscilloscopes]] - Learn how to use this versatile tool to test electronic circuits.  Maximum 6 slots, please sign up ahead of time! [[User:dstaff|dstaff]]&lt;br /&gt;
:&#039;&#039;&#039;2008-10-31&#039;&#039;&#039;: [[Halloween Open House]] - NoiseBridge&#039;s own [[PPPC]] threw an awesome open house/halloween gala. Post pictures if you got &#039;em!&lt;br /&gt;
:&#039;&#039;&#039;2008-10-25&#039;&#039;&#039;: [[Soldering Workshop]] and Pumpkin Hackin&#039; - Learn to solder for total newbies (or learn to solder better!), including surface mount. Additionally, carve your halloween pumpkins and enjoy some experimental pumpkin pie and/or soup.&lt;br /&gt;
:&#039;&#039;&#039;2008-10-07&#039;&#039;&#039;: (tuesday before meeting) - Etch a circuit board. I&#039;ll be trying a photo resist etching and a basic printed mask etching. This is step 1/3 for a project called &amp;quot;annoying USB thingie&amp;quot; which will execute pre-defined keystrokes by sneaking a tiny USB dongle onto a victim^h^h^h^h^h buddy&#039;s computer.&lt;br /&gt;
:&#039;&#039;&#039;2008-09-13&#039;&#039;&#039;: [[Processing Workshop]] — Learn this very easy-to-use programming language! - [[Processing Workshop Report]]&lt;br /&gt;
:&#039;&#039;&#039;2008-02-16&#039;&#039;&#039;: [[Brain Machine Workshop|Brain Machine Making Workshop]]: Our first hardware sprint!&lt;/div&gt;</summary>
		<author><name>76.126.141.195</name></author>
	</entry>
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