Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow. Aurélien Géron. 3rd Edition.

Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow (3rd Edition) is one of the most widely used books for practical machine learning. Written by Aurélien Géron, this book provides a hands-on, example-driven approach to learning modern machine learning techniques.

This edition is fully updated for TensorFlow 2 and Scikit-Learn 1.0, covering the latest advancements in deep learning, reinforcement learning, and model interpretability. Whether you're a beginner or an experienced ML practitioner, this book will help you understand the core concepts, best practices, and real-world applications of machine learning.

What’s Inside?

✅ Fundamentals of Machine Learning – Supervised and unsupervised learning, data preprocessing, and model evaluation.
✅ Scikit-Learn for Traditional ML – Linear regression, decision trees, SVMs, ensemble learning, and feature engineering.
✅ Neural Networks & Deep Learning – Introduction to deep learning with Keras and TensorFlow 2, including CNNs, RNNs, and GANs.
✅ Advanced Topics – Transfer learning, self-supervised learning, and deep reinforcement learning.
✅ Deployment and Best Practices – Model deployment, performance optimization, and handling production ML challenges.
✅ Real-World Case Studies – Step-by-step implementation of machine learning models for practical applications.

Who Should Read This Book?

•  Beginners – If you're new to ML, the book provides clear explanations and intuitive examples.
•  Data Scientists & ML Engineers – Covers advanced techniques and best practices for scalable ML.
•  Software Developers – Want to integrate ML into applications using Python libraries.
•  AI Enthusiasts – Anyone interested in practical AI and deep learning applications.

Why Choose This Book?

•  Practical and Hands-On – Focused on coding and real-world examples, not just theory.
•  Covers Latest ML Trends – Updated for TensorFlow 2, Keras, and Scikit-Learn 1.0.
•  Easy to Follow – Clear, well-structured explanations with visualizations and code snippets.
•  Real-World Application – Learn how to train, fine-tune, and deploy ML models in production.

Whether you're building your first ML model or optimizing deep learning architectures, Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow (3rd Edition) is an indispensable guide for mastering modern machine learning.