Description
Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow (3rd Edition) is a bestselling practical guide for developers who want to build intelligent systems using modern machine learning and deep learning techniques. Written by Aurélien Géron, this book emphasizes real-world examples, minimal theory, and production-ready Python frameworks.
Starting from the fundamentals such as linear regression, the book gradually leads readers to advanced topics including deep neural networks, convolutional and recurrent models, transformers, diffusion models, and reinforcement learning. With clear explanations, hands-on exercises, and complete code examples, readers gain an intuitive and practical understanding of how machine learning works in real applications.
This updated edition covers the latest tools and best practices using Scikit-Learn, TensorFlow, and Keras, making it ideal for programmers who want to apply machine learning to computer vision, natural language processing, generative AI, and data-driven decision-making.
Whether you are new to machine learning or looking to sharpen your skills, this book provides an end-to-end learning path from classic algorithms to state-of-the-art deep learning models.
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