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Hands-on machine learning with scikit-learn, keras, and tensorflow : concepts, tools, and techniques to build intelligent systems

By: Material type: TextTextPublication details: Sebastopol O'Reilly Media Inc. Shroff Publishers & Distributors Pvt Ltd 2023Edition: 3rd edDescription: xxv, 834pISBN:
  • 9789355421982 (pbk)
Subject(s): DDC classification:
  • 005.262 GER
Summary: "Through a series of recent 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 practical book shows you how. By using concrete examples, minimal theory, and two production-ready Python frameworks—Scikit-Learn and TensorFlow—author Aurélien Géron helps you gain an intuitive understanding of the concepts and tools for building intelligent systems. You’ll learn a range of techniques, starting with simple linear regression and progressing to deep neural networks. With exercises in each chapter to help you apply what you’ve learned, all you need is programming experience to get started."
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Item type Current library Collection Call number Status Date due Barcode
Book Book Plaksha University Library Computer science 005.262 GER (Browse shelf(Opens below)) Available 003916
Book Book Plaksha University Library Computer science 005.262 GER (Browse shelf(Opens below)) Available 003917
Book Book Plaksha University Library Computer science 005.262 GER (Browse shelf(Opens below)) Available 003918
Book Book Plaksha University Library Computer science 005.262 GER (Browse shelf(Opens below)) Available 003919
Book Book Plaksha University Library Computer science 005.262 GER (Browse shelf(Opens below)) Checked out 09/09/2024 003920

https://www.oreilly.com/library/view/hands-on-machine-learning/9781492032632/

"Through a series of recent 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 practical book shows you how.

By using concrete examples, minimal theory, and two production-ready Python frameworks—Scikit-Learn and TensorFlow—author Aurélien Géron helps you gain an intuitive understanding of the concepts and tools for building intelligent systems. You’ll learn a range of techniques, starting with simple linear regression and progressing to deep neural networks. With exercises in each chapter to help you apply what you’ve learned, all you need is programming experience to get started."

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