/ml-books

A list of freely available Machine Learning related books.

MIT LicenseMIT

ml-books

A list of freely available Machine Learning, Data Science and Statistics books.

Book/Resource Author(s) Links
d2l-ai Community [github] [pdf] ✔️
Data Science Handbook Jake Vanderplas [github] [online]
Deep Learning Book Ian Goodfellow, Yoshua Bengio, Aaron Courville [online]
Deep Learning with Pytorch Eli Stevens, Luca Antiga, Thomas Viehmann [pdf] ✔️
Introdution to Probability Jessica Hwang and Joseph K. Blitzstein [Google Drive]
Ml Primer Mihail Eric [pdf] ✔️
Mathematics For Machine Learning Marc Peter Deisenroth, A Aldo Faisal, and Cheng Soon Ong [github] [pdf] ✔️
Foundations of Data Science Avrim Blum, John Hopcroft, Ravindran Kannan [pdf] ✔️
Think Stats Allen Downey [github] [pdf] ✔️
Math4ml Garrett Thomas [github] [pdf] ✔️
Think bayes Allen Downey [github] [html] [pdf] ✔️
Think python 2 Allen Downey [pdf] ✔️
Intermediate python Muhammad Yasoob Ullah Khalid [pdf] ✔️
Pattern Recognition and Machine Learning Christopher Bishop [pdf] ✔️
Computer Age Statistical Inference Bradley Efron, Trevor Hastie [pdf] ✔️
An Introduction to Statistical Learning Gareth James, Daniela Witten, Trevor Hastie, Robert Tibshirani [pdf] ✔️
The Elements ofStatistical Learning Trevor Hastie, Robert Tibshirani, Jerome Friedman [pdf] ✔️