Hands-on machine learning with Scikit-Learn and TensorFlow : concepts, tools, and techniques to build intelligent systems / Aurélien Géron.
By: Géron, Aurélien [author.].
Publisher: Beijing ; Boston : O'Reilly Media, ©2017Copyright date: ©2017Edition: First edition.Description: 551 pages ; illustrations ; 24 cm.Content type: text | still image Media type: unmediated Carrier type: volumeISBN: 9781491962299.Subject(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. | Print books.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" --| Current location | Call number | Status | Date due | Barcode | Item holds |
|---|---|---|---|---|---|
| On Shelf | Q325.5 .G47 2017 (Browse shelf) | Available | AU00000000014192 |
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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" --