Notebooks
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Free books from generous authors.
Biology
- An Owner's Guide to the Human Genome: an introduction to human population genetics, variation and disease by Jonathan Pritchard
English usage
- Common Errors in English Usage
Philosophy/Classics
- Digital Library of Darshan Manisha (Texts on Indian Philosophy)
- Open Greek and Latin Perseus Digital Library
Physics
- Online course on topology in condensed matter
- Feynman lectures
- Electrodynamics by Phil Nelson (excellent!)
- Understanding the Properties of Matter by Michael de Podesta
- Entropy by John Baez
- Group Theory in Physics: An Introduction with Mathematica by Balasubramanian Ananthanarayan, Souradeep Das, Amitabha Lahiri, Suhas Sheikh, Sarthak Talukdar
- Lecture notes on Statistical Physics by Lydéric Bocquet
- Lecture notes on Soft Matter and Interfaces by Lydéric Bocquet
Machine Learning
- Interpretable Machine Learning by Christoph Molnar
- Deep Learning for Molecules and Materials by Andrew D. White
- Information Theory, Inference, and Learning Algorithms by David MacKay
- The Elements of Statistical Learning by Trevor Hastie, Robert Tibshirani, Jerome Friedman
- An Introduction to Statistical Learning by Gareth James, Daniela Witten, Trevor Hastie, Robert Tibshirani
- Model-Based Machine Learning by John Winn
- The Little Book of Deep Learning by François Fleuret. He formatted the book for reading on smartphones—such innovative people!