Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow

The definitive practical guide to machine learning in Python. Géron walks from scikit-learn fundamentals through deep neural networks and reinforcement learning using real datasets and working code — the book practitioners actually keep on their desks.

Now in its third edition, this O'Reilly title is consistently the top-selling ML book on Amazon among practitioners. Géron balances theory and implementation: you understand why algorithms work and immediately see them working in code. Covers the full ML workflow from data preprocessing and feature engineering through CNNs, RNNs, autoencoders, GANs, and deployment. The TensorFlow/Keras sections were updated for TF 2.x and include modern best practices.

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