For the past 6 months or so, I have been teaching myself about artificial intelligence. In this video, I describe some of the places I learned from and a few of the things I've done with my new found knowledge.

MIT OpenCourseware videos: http://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-034-artificial-intelligence-fall-2010/lecture-videos/

Numerical analysis lectures: https://www.youtube.com/user/justinmsolomon/videos

Lots of my AI code: https://github.com/unixpickle/weakai

Lots of my Numerical Analysis code: https://github.com/unixpickle/num-analysis

Other code showcased in this video:

https://github.com/unixpickle/svm-playground

https://github.com/unixpickle/whichlang

https://github.com/unixpickle/heatgrid

Papers I've read recently:

http://arxiv.org/pdf/1502.04390v2.pdf
http://www.cs.toronto.edu/~jmartens/docs/Deep_HessianFree.pdf
http://nic.schraudolph.org/pubs/Schraudolph02.pdf
http://www.cs.utoronto.ca/~ilya/pubs/2011/HF-RNN.pdf

Other sources:
http://www.cs.toronto.edu/~tijmen/csc321/slides/lecture_slides_lec6.pdf