Hands-on machine learning with Scikit-Learn and TensorFlow : concepts, tools, and techniques to build intelligent systems / Aurélien Géron.
Material type:
TextPublisher: Beijing ; Boston : O'Reilly Media, 2019Copyright date: ©2019Edition: 2nd editionDescription: xxv, 819 pages : illustrations ; 24 cmContent type: text | still image Media type: unmediated Carrier type: volumeISBN: 1491962291; 9781491962299Subject(s): Machine learning | Artificial intelligence | COMPUTERS / Computer Vision & Pattern Recognition | COMPUTERS / Data Processing | COMPUTERS / Intelligence (AI) & Semantics | COMPUTERS / Natural Language Processing | COMPUTERS / Neural Networks | Artificial intelligence | Machine learning | Python 3.0 | Automatische Klassifikation | Maschinelles Lernen | Künstliche IntelligenzGenre/Form: Nonfiction. DDC classification: 006.31 LOC classification: Q325.5 | .G47 2017Summary: "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" -- Back cover.
| Item type | Current location | Home library | Call number | Status | Date due | Barcode | Item holds |
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Book
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Central Library (CL) | Central Library (CL) | 006.31 GER (Browse shelf) | Checked out to Muhammad Wajahat Hussain (35200-0758975-7) | 04/02/2021 | CL-402 | 5 |
Includes index.
"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" -- Back cover.
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