ai class Resources

[Will]

Official class website:
http://www.ai-class.com/

Subreddit:
http://www.reddit.com/r/aiclass

IRC:
http://webchat.freenode.net?channels=aiclass

Or if you have your own preferred irc client:
#aiclass on Freenode
irc://irc.freenode.net/aiclass

[Will]

Wiki page of links maintained by clyfe from #aiclass:
https://github.com/clyfe/cywiky/wiki/ai-class
(mirror: http://www.webcitation.org/61r6fJZpi )

Copy of it is below:


I find this (
http://www.aiqus.com/questions/4/hey-guys-what-are-some-prerequisite-materials-i-can-read-before-the-class-starts/52
) to be a nice list for people in a hurry.

Linear Algebra
http://blog.wolfire.com/2009/07/linear-algebra-for-game-developers-part-1/
http://processing.org/learning/pvector
http://www.khanacademy.org/#linear-algebra
http://ocw.mit.edu/courses/mathematics/18-06-linear-algebra-spring-2010/video-lectures/

Probability
http://www.khanacademy.org/#probability
http://pdg.lbl.gov/2011/reviews/rpp2011-rev-probability.pdf
http://www.dartmouth.edu/~chance/teaching_aids/books_articles/probability_book/amsbook.mac.pdf

Statistics
http://www.khanacademy.org/#statistics
http://onlinestatbook.com/2/index.html
http://greenteapress.com/thinkstats/html/index.html
http://pdg.lbl.gov/2011/reviews/rpp2011-rev-statistics.pdf

Aux stats

http://statland.org/MAAFIXED.PDF
http://escholarship.org/uc/item/6hb3k0nz
http://www.youtube.com/user/mathematicalmonk
http://news.ycombinator.com/item?id=2934117

Info
http://robots.stanford.edu/cs221/
http://www-inst.eecs.berkeley.edu/~cs188/sp11/lectures.html

Intros
http://mtnwestrubyconf2007.confreaks.com/session03.html - probability,
bayesian networks
http://confreaks.net/videos/361-gogaruco2010-intelligent-ruby-getting-started-with-machine-learning
- ML intro

Links
http://www.ai-class.com
http://robots.stanford.edu/cs221/online.html
http://www.reddit.com/r/aiclass
http://www.aiqus.com
http://metaoptimize.com/qa
http://aima.eecs.berkeley.edu
http://aima.eecs.berkeley.edu/slides-pdf/

http://people.inf.elte.hu.nyud.net/csizsekp/ai/books/