Hands-on machine learning with scikit-learn, keras and TensorFlow : concepts, tools, and techniques to build intelligent systems / Aurélien Géron.
By: Géron, Aurélien [author.].
Material type:
BookPublisher: New Delhi : Shroff Pub., ©2023Edition: 3rd ed.Description: xxv, 834 p. : ill. (chiefly color) ; 24 cm.ISBN: 9789355421982.Subject(s): TensorFlow | Python (Computer program language) | Machine learning | Artificial intelligence | Apprentissage automatique | Python (Langage de programmation) | Intelligence artificielle | artificial intelligence | Artificial intelligence | Machine learning | Python (Computer program language)DDC classification: 006.31/GEH Summary: "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-ready Python frameworks--scikit-learn, Keras, and TensorFlow--to help you gain an intuitive understanding of the concepts and tools for building intelligent systems. With this updated third edition, author Aurelien Geron explores a range of techniques, starting with simple linear regression and progressing to deep neural networks. Numerous code examples and exercises throughout the book help you apply what you've learned. Programming experience is all you need to get started"-- Page 4 of cover.
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| 006.31/CHD Deep learning with python / | 006.31/CHD Deep learning with python / | 006.31/CHD Deep learning with python / | 006.31/GEH Hands-on machine learning with scikit-learn, keras and TensorFlow : | 006.31/GEH Hands-on machine learning with scikit-learn, keras and TensorFlow : | 006.31/GEH Hands-on machine learning with scikit-learn, keras and TensorFlow : | 006.312/HAD Data mining: |
Includes bibliographical references and index.
"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-ready Python frameworks--scikit-learn, Keras, and TensorFlow--to help you gain an intuitive understanding of the concepts and tools for building intelligent systems. With this updated third edition, author Aurelien Geron explores a range of techniques, starting with simple linear regression and progressing to deep neural networks. Numerous code examples and exercises throughout the book help you apply what you've learned. Programming experience is all you need to get started"-- Page 4 of cover.
CSE
English
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