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 | |
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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