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Hands-on machine learning with Scikit-Learn, Keras, and TensorFlow : concepts, tools, and techniques to build intelligent systems / by Aurelien Geron

By: Material type: TextTextPublication details: Mumbai, India : O'Reilly, c2023.Edition: 3rd edDescription: xxv, 834 p. : ill. ; 23 cmISBN:
  • 9789355421982
  • 9355421982
Subject(s): DDC classification:
  • 23 005.262 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
Item type: BOOK
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Holdings
Item type Current library Call number Copy number Status Date due Barcode Item holds
BOOK BOOK ULAB Library Text Book Area - CSE Dept. 005.262 GEH (Browse shelf(Opens below)) 1 Not For Loan 21500
BOOK BOOK ULAB Library Text Book Area - CSE Dept. 005.262 GEH (Browse shelf(Opens below)) 2 Not For Loan 21501
Total holds: 0

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

CSE

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