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* [Machine Learning from Scratch ](https://dafriedman97.github.io/mlbook/content/introduction.html ) - Danny Friedman
* [Machine Learning from Scratch ](https://dafriedman97.github.io/mlbook/content/introduction.html ) - Danny Friedman
* [Machine Learning, Neural and Statistical Classification ](http://www1.maths.leeds.ac.uk/~charles/statlog/ )
* [Machine Learning, Neural and Statistical Classification ](http://www1.maths.leeds.ac.uk/~charles/statlog/ )
* [Mathematics for Machine Learning ](https://gwthomas.github.io/docs/math4ml.pdf ) - Garrett Thomas (PDF)
* [Mathematics for Machine Learning ](https://gwthomas.github.io/docs/math4ml.pdf ) - Garrett Thomas (PDF)
* [Mathematics for Machine Learning ](https://mml-book.github.io ) - Marc Peter Deisenroth, A Aldo Faisal, and Cheng Soon Ong
* [Neural Networks and Deep Learning ](http://neuralnetworksanddeeplearning.com )
* [Neural Networks and Deep Learning ](http://neuralnetworksanddeeplearning.com )
* [Probabilistic Models in the Study of Language ](http://idiom.ucsd.edu/~rlevy/pmsl_textbook/text.html ) (Draft, with R code)
* [Probabilistic Models in the Study of Language ](http://idiom.ucsd.edu/~rlevy/pmsl_textbook/text.html ) (Draft, with R code)
* [Reinforcement Learning: An Introduction ](http://incompleteideas.net/book/RLbook2020.pdf ) - Richard S. Sutton, Andrew G. Barto (PDF)
* [Reinforcement Learning: An Introduction ](http://incompleteideas.net/book/RLbook2020.pdf ) - Richard S. Sutton, Andrew G. Barto (PDF)