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Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems

Aurélien Géron

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Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems

by Aurélien Géron
Compare to estimated retail price: S$88.00  

The item you've got your eye on is secondhand. You probably already know that, but just in case!

The estimated retail price shown next to any listed item represents the first-hand prices we've seen elsewhere, or the estimated original retail price of a comparable item of the same quality, construction and material offered elsewhere in new condition.

Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems
Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems

Practical ML mastery from code to deployment

If you want a machine learning book that actually gets you building, this is the one people often rave about. It keeps theory approachable and ties everything to real Python workflows with Scikit-Learn, Keras, and TensorFlow, so the learning feels useful fast. It is especially great for programmers who want to move from curiosity to confidently training, tuning, and shipping intelligent systems.

Note: While we do our best to ensure the accuracy of cover images, ISBNs may at times be reused for different editions of the same title which may hence appear as a different cover.

Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems

by Aurélien Géron
Compare to estimated retail price: S$88.00  

The item you've got your eye on is secondhand. You probably already know that, but just in case!

The estimated retail price shown next to any listed item represents the first-hand prices we've seen elsewhere, or the estimated original retail price of a comparable item of the same quality, construction and material offered elsewhere in new condition.

Condition guide

Book Condition Guide

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This book may contain very minor cosmetic defects, but it is in pristine condition. There should be no yellowing, no foxing, no water damage, and no annotations of any kind on the cover and the pages. For paperbacks, there should not be any crease marks on the spine. This book is good as new — lucky you!

*Books may be missing bundle media (e.g. CD, e-book code), if included.

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This book has been used, but it is still in a clean condition. There should be no foxing or annotations of any kind on the inner pages, but a sparse amount may be present on the cover, title pages, or outside edges of the book. There should be no water damage of any kind. For paperbacks, there may be light crease marks on the spine.

*Books may be missing bundle media (e.g. CD, e-book code), if included.

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We do our best to ensure the quality of our books, but there is no escaping the wear and tear that comes with time. Slight foxing and some annotations may be present on the pages and the cover. There should be no water damage of any kind. For paperbacks, there may be several crease marks on the spine.

*Books may be missing bundle media (e.g. CD, e-book code), if included.

Books in Well Read Condition

This is a well-read book, which means that the previous owner probably really enjoyed it! The cover and pages may include moderate foxing and annotations, but the text is not obscured and still readable. Moderate cosmetic defects and minor water damage may be present on the edges of the book. For paperbacks, there may be multiple crease marks on the spine.

*Books may be missing bundle media (e.g. CD, e-book code), if included.

 

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ISBN: 9781492032649
Author: Aurélien Géron
Publisher: O'Reilly Media
Date of Publication: 2019-10-15
Format: Paperback
Related Collections: Science
Related Topics: Mathematics, Computers
Goodreads rating: 4.55
(rated by 2827 readers)

Description

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. The updated edition of this best-selling book uses concrete examples, minimal theory, and two production-ready Python frameworks—Scikit-Learn and TensorFlow 2—to help you gain an intuitive understanding of the concepts and tools for building intelligent systems. Practitioners will learn a range of techniques that they can quickly put to use on the job. Part 1 employs Scikit-Learn to introduce fundamental machine learning tasks, such as simple linear regression. Part 2, which has been significantly updated, employs Keras and TensorFlow 2 to guide the reader through more advanced machine learning methods using 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. NEW FOR THE SECOND EDITION: Updated all code to TensorFlow 2. Introduced the high-level Keras API. New and expanded coverage including TensorFlow's Data API, Eager Execution, Estimators API, deploying on Google Cloud ML, handling time series, embeddings and more. With Early Release ebooks, you get books in their earliest form—the author's raw and unedited content as he or she writes—so you can take advantage of these technologies long before the official release of these titles. You'll also receive updates when significant changes are made, new chapters are available, and the final ebook bundle is released.
 

Practical ML mastery from code to deployment

If you want a machine learning book that actually gets you building, this is the one people often rave about. It keeps theory approachable and ties everything to real Python workflows with Scikit-Learn, Keras, and TensorFlow, so the learning feels useful fast. It is especially great for programmers who want to move from curiosity to confidently training, tuning, and shipping intelligent systems.

Note: While we do our best to ensure the accuracy of cover images, ISBNs may at times be reused for different editions of the same title which may hence appear as a different cover.

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