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Statistical & Machine Learning Resources
Textbooks
Lecture Notes
Videos
Textbooks
An Introduction to Statistical Learning with Applications in R
Gareth James, Daniela Witten, Trevor Hastie, Robert Tibshirani
Has Exercises
ToC Has Links
+ Video Lectures
The Elements of Statistical Learning: Data Mining, Inference, and Prediction
Trevor Hastie, Robert Tibshirani, Jerome Friedman
Has Exercises
Mathematics for Machine Learning
Marc Peter Deisenroth, A. Aldo Faisal, Cheng Soon Ong
Has Exercises
ToC Has Links
Deep Learning
Ian Goodfellow, Yoshua Bengio, Aaron Courville
ToC Has Links
Foundations of Machine Learning
Mehryar Mohri, Afshin Rostamizadeh, Ameet Talwalkar
Has Exercises
ToC Has Links
Bayesian Reasoning and Machine Learning
David Barber
Has Exercises
ToC Has Links
Algebra, Topology, Differential Calculus, and Optimization Theory for Computer Science and Machine Learning
Jean Gallier, Jocelyn Quaintance
Has Exercises
Lecture Notes
Statistical Learning Theory
Percy Liang
ToC Has Links
Videos
Matrix Methods in Data Analysis, Signal Processing, and Machine Learning
MIT OCW, Gilbert Strang