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Book 4: AI
Links:
A Visual Introduction to Machine Learning
http://www.r2d3.us/visual-intro-to-machine-learning-part-1/
UC Berkeley CS188 Intro to AI -- Course Materials
http://ai.berkeley.edu/home.html
Eyeo 2016 – Gene Kogan
https://vimeo.com/180044029
Machine Learning for Artists
http://ml4a.github.io/classes/itp-S16/
COMPUTING MACHINERY AND INTELLIGENCE By A. M. Turing
http://www.loebner.net/Prizef/TuringArticle.html
https://en.m.wikipedia.org/wiki/Inverse_problem
https://en.m.wikipedia.org/wiki/Generative_model
CS231n Winter 2016 Stanford
https://www.youtube.com/playlist?list=PLLvH2FwAQhnpj1WEB-jHmPuUeQ8mX-XXG
Eyeo 2016 – Kyle McDonald
https://vimeo.com/178236531
Computation Intelligence Car Evolution Using Box2D Physics (v3.2)
http://boxcar2d.com/
The Non-Technical Guide to Machine Learning & Artificial Intelligence
https://medium.com/@samdebrule/a-humans-guide-to-machine-learning-e179f43b67a0#.v2zzn154z
@silppuri

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@silppuri silppuri commented Nov 16, 2016

Starred! Really nice collection and some new resources for me too, I recommend also the Andrew Ng's course on machine learning in Coursera: https://www.coursera.org/learn/machine-learning/home/welcome

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