Some interesting and freely available books, which can be found at their respective authors websites:
| Title | Language | Link | |
|---|---|---|---|
| 1 | An Introduction to Statistical Learning with Applications in R | English | Link (Homepage) |
| 2 | The Elements of Statistical Learning: Data Mining, Inference, and Prediction (2nd Ed.) | English | Link (Homepage) |
| 3 | Mathematics for Machine Learning | English | Link (Homepage) |
| 4 | Foundations of Machine Learning (2nd Ed.) | English | Link (Homepage) |
| 5 | Pattern Recognition and Machine Learning | English | Link (Homepage) |
| 6 | Reinforcement Learning: An Introduction | English | Link (Homepage) |
| 7 | Deep Learning | English | Homepage |
| 8 | Dive into Deep Learning | English | Homepage (New version) |
| A high-bias, low-variance introduction to Machine Learning for physicists | English | arXiv.org | |
| Speech and Language Processing | English | Link | |
| Understanding Machine Learning: From Theory to Algorithms | English | Homepage | |
| Bayesian Reasoning and Machine Learning | English | Homepage |
Some additional interesting reading
| Title | Link | |
|---|---|---|
| 1 | "Apparently, Calculus Was Invented In 1994" | [1], [2] |
| 2 | "The Gaussian Copula and the Financial Crisis" and possible problems in the future | [1], [2], [3] + [4] |
| 3 | Buggy Software | [1], [2] |
| R Development NEWS: | Link | |
| Python Release Schedules: | [3.8] + [Index of Python Enhancement Proposals] |