Geron, Aurelien
Hands-on machine learning with Scikit-Learn, Keras, and TensorFlow : concepts, tools, and techniques to build intelligent systems / by Aurelien Geron - 3rd ed. - Mumbai, India : O'Reilly, c2023. - xxv, 834 p. : ill. ; 23 cm.
Includes 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
9789355421982 9355421982
Python
Machine learning.
Artificial Intelligence.
CSE
Computer science and engineering
005.262 / GEH
Hands-on machine learning with Scikit-Learn, Keras, and TensorFlow : concepts, tools, and techniques to build intelligent systems / by Aurelien Geron - 3rd ed. - Mumbai, India : O'Reilly, c2023. - xxv, 834 p. : ill. ; 23 cm.
Includes 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
9789355421982 9355421982
Python
Machine learning.
Artificial Intelligence.
CSE
Computer science and engineering
005.262 / GEH