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Cours

• Cours Andrew Ng, Stanford; Matériel
  • Lien restauré par Ahmed Mazari. Merci !
• Cours Nando de Freitas (vidéos YouTube)

Liens, source Ahmed Mazari and Laurent Cetinsoy

Readings in Machine Learning

• Reading List, Montreal https://docs.google.com/document/d/1IXF3h0RU5zz4ukmTrVKVotPQypChscNGf5k6E25HGvA/edit
  • MS Tres complet: de comment écrire un article, à divers sujets, majoritairement neural nets.

Tutorials

• Courses, tutorials, notes

Software

• Machine Learning software and libraries https://github.com/josephmisiti/awesome-machinelearning/blob/master/README.md
  • https://gist.github.com/ricardocabral/36d0f7c3f1765be0e403
  • https://github.com/fchollet/keras-resources

Blogs

• Machine Learning blog http://yaroslavvb.blogspot.fr/
• Machine Learning blog (mainly about recommendation system) http://blog.echen.me/
• Machine learning blog https://justindomke.wordpress.com/
• AI’s road to Mainstream http://blog.mikiobraun.de/
• Random Ponderings: http://yyue.blogspot.com/
• Probability and Statistics blog http://www.statisticsblog.com/
• Big data blog http://practicalquant.blogspot.fr/
• Machine Learning blog https://charlesmartin14.wordpress.com/
• Machine Learning blog https://blog.monkeylearn.com/
• Machine Learning blog http://machinelearningmastery.com/blog/
• Machine Learning blog http://www.cs.waikato.ac.nz/~bernhard/good-machine-learningblogs.html
• Hyper-parameter tuning http://www.argmin.net.
• NNs and neurosciences http://www.offconvex.org/
• NNs and Gaussian processes http://mlg.eng.cam.ac.uk/yarin/blog_3d801aa532c1ce.html

Deep Learning

• Deep learning blogs http://meta-guide.com/software-meta-guide/100-best-github-deeplearning
• Reinforcement and deep learning resources
  • https://deeplearning4j.org/deeplearningpapers.html
  • https://github.com/ChristosChristofidis/awesome-deep-learning
  • http://www.jeremydjacksonphd.com/deep-learning-resources/
• Machine Learning and deep learning tutorials https://github.com/ujjwalkarn/Machine-Learning-Tutorials
• Deep Learning reading list http://deeplearning.net/reading-list/

Reinforcement learning

• Reinforcement learning : theory, code, tutorials, lectures, thesis/ papers https://github.com/aikorea/awesome-rl
• Deep reinforcement learning papers and talks https://github.com/muupan/deep-reinforcement-learning-papers
• Reinforcement learning and multi-agent systems https://handong1587.github.io/deep_learning/2015/10/09/reinforcement-learning.html

Topics divers

• Information theory https://infostructuralist.wordpress.com/
• Decision making under uncertainty http://www.inherentuncertainty.org/
• Computer vision https://github.com/kjw0612/awesome-deep-vision
• Recommender systems https://github.com/grahamjenson/list_of_recommender_systems https://github.com/Geek4IT/awesome-recommender-system