Understanding the theory


Understanding Machine Learning, Shai Shalev-Shwartz and Shai Ben-David, Cambridge University Press 2014 (pdf).

Dive into Deep Learning, Interactive deep learning book with code, math, and discussions. Implemented with NumPy/MXNet, PyTorch, and TensorFlow (pdf).

The elements of statistical learning, Trevor Hastie, Robert Tibshirani, Jerome Friedman, 2009 (pdf).

Probability and statistics

Introduction to Statistics and Data Analysis for Physicists, Gerhard Bohm and G√ľnter Zech, DESY 2010.

Neural networks

Neural Networks and Learning Machines, Simon Haykin, McMaster University 2009.

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