Hands-On Machine Learning with Scikit-Learn, Keras, and Tensorflow: Concepts, Tools, and Techniques to Build Intelligent Systems -- Aurélien Géron, Paperback
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Step-by-step hands-on projects: Apply machine learning concepts to real-world problems for practical learning
Production-ready Python code: Learn to build and deploy intelligent systems using industry-standard libraries
Comprehensive coverage of models and techniques: Explore linear regression, ensemble methods, neural networks, and more
Updated third edition: Includes new code, techniques, and insights from the author
Minimal theory with concrete examples: Focuses on practical application to accelerate learning
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Through a recent series of breakthroughs, deep learning has boosted the entire field of machine learning. Now, even programmers who know close to nothing about this technology can use simple, efficient tools to implement programs capable of learning from data. This best-selling book uses concrete examples, minimal theory, and production-r