Here it is — the list of the best machine learning & deep learning books for 2019.
Deep Learning by Ian Goodfellow, Yoshua Bengio, Aaron Courville. Grokking Deep Learning by Andrew W. Trask. Deep Learning with Python by Francois Chollet. Hands-On Machine Learning with Scikit-Learn and TensorFlow by Aurélien Géron. The Hundred-Page Machine Learning Book by Andriy Burkov. Reinforcement Learning: An Introduction (2nd Edition) by Richard S. Sutton, Andrew G. Barto.
Deep Reinforcement Learning Hands-On by Maxim Lapan.Learning From Data by Yaser S. Abu-Mostafa, Malik Magdon-Ismail, Hsuan-Tien Lin.The Book of Why by Judea Pearl, Dana Mackenzie.Machine Learning Yearning by Andrew Ng.Interpretable Machine Learning by Christoph Molnar.Neural Networks and Deep Learning by Michael Nielsen.
