Hands-on machine learning with Scikit-Learn, Keras and TensorFlow : concepts, tools, and techniques to build intelligent systems / [by] Aurélien Géron .

By:

Géron, Aurélien

Material type: Text

Media type:

Carrier type:

ISBN:

9781098125974 (br)
1098125975 (br)

Subject(s): DDC classification:

006.31 23

LOC classification:

Q325.5 .G47 2023

Other classification:

68-XX.

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 bestselling book uses concrete examples, minimal theory, and production-ready Python framework (Scikit-Learn, Keras, and TensorFlow) to help you again an intuitive understanding of the concepts and tools for building intelligent systems. With this updated third edition, author AurØlien GØron explores a range of techniques, starting with wimple linear regression and progressing to deep neural networks. Numerous code examples and exercices throughout the book help you apply what you've learned. Programming expeience is all you need to get started.

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Holdings
Item type	Current library	Call number	Copy number	Status	Date due	Barcode
წიგნი	ეროვნული სამეცნიერო ბიბლიოთეკა 1 საცავი. 1 კორპ.	004.8 (Browse shelf(Opens below))	2E65559	Available		2024-1588

Previous editions: 2019, 2017.

Includes index.

Bibliogr. p. XXI-XXII. Notes bibliogr. en bas de pages.

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 bestselling book uses concrete examples, minimal theory, and production-ready Python framework (Scikit-Learn, Keras, and TensorFlow) to help you again an intuitive understanding of the concepts and tools for building intelligent systems. With this updated third edition, author AurØlien GØron explores a range of techniques, starting with wimple linear regression and progressing to deep neural networks. Numerous code examples and exercices throughout the book help you apply what you've learned. Programming expeience is all you need to get started.

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National Science Library of Georgia

Hands-on machine learning with Scikit-Learn, Keras and TensorFlow : concepts, tools, and techniques to build intelligent systems / [by] Aurélien Géron .