Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow is a comprehensive guide to building intelligent systems using modern machine learning techniques. This third edition updates key concepts with the latest advancements in deep learning, reinforcement learning, and natural language processing. With a hands-on approach, the book walks readers through fundamental ML principles, practical implementations, and real-world applications using Python libraries like Scikit-Learn, Keras, and TensorFlow.

Why Read This Book

• Learn practical machine learning techniques, from linear regression to deep learning.
• Explore TensorFlow and Keras for advanced neural network training.
• Gain hands-on experience with real-world datasets and model optimization.
• Understand deep learning architectures, including CNNs, RNNs, and Transformers.
• Written by Aurélien Géron, a leading expert in machine learning and AI education.

About the Author

Aurélien Géron is a machine learning consultant, AI researcher, and former lead of YouTube’s machine learning team at Google. He specializes in deep learning, data science, and artificial intelligence, making complex ML concepts accessible to developers and data scientists worldwide.