Machine Learning Resources

ml_resources.md

Courses

• Learning from data, course by Professor Yaser Abu-Mostafa

• http://courses.cs.washington.edu/courses/cse446/13sp/

• http://cs.nyu.edu/~dsontag/courses/ml13/

• http://holehouse.org/mlclass/

• ML, level 1 by Prof. Andrew Ng: Machine Learning, Website

• ML, level 1 by Prof. Andrew Ng: Machine Learning, Website, Lecture Notes, Videos

• ML, level 1 by Prof. Nando de Freitas: Machine Learning & Data Mining, Website, Lecture Notes, Videos

• ML, level 2 by Prof. Nando de Freitas: Machine Learning, Website, Lecture Notes, Videos

• NN, level 1 by Prof. Nando de Freitas: Machine Learning and Neural Computation, Website, Lecture Notes, Videos

• ML, level 2 by Prof. Nando de Freitas: Probabilistic Machine Learning, Website, Lecture Notes, Videos

• ML, level 3 by Prof. Ryan Adams: Advanced Machine Learning, Website, Lecture Notes, Videos

• ML, level 1 by Prof. Jeff Ullman: Mining Massive Datasets, Website, Lecture Notes, Videos

• ML, level 1 by Prof. Alex Ihler: Machine Learning and Data Mining, Website

Books

ISL is a good intuition builder. Elem Stat Learning (ESL) and Barber and MacKay's books are good adjunct/substitute texts for some topics.

• Kevin Murphy
• Christopher Bishop
• ESL -- Elements of Statistical Learning
• David Barber
• ISL -- Introduction to Statistical Learning
• David McKay
• DMAFCA -- Data Mining & Analysis - Fundamental Concepts and Applications

Courses

Mathematical Pre-requisites

• mathematicalmonk's channel

Online Resources

• metacademy

Miscellaneous

• ML Books
• How to read Murphy's books
• Github Awesome List of ML Tutorials