Free delivery on all orders above RM80 to Malaysia
Get 10% off all year round! Join Thryft Club

Your cart

Your cart is empty

Check out these collections!

Bestselling Fiction
Bestselling Nonfiction
Bestselling Books for Children
Vintage and Rare Books
Vinyl Records
Women's Clothing
Men's Clothing

Stay in touch and win free books

Keep up with our latest sales and events, and receive
recommendations direct to your inbox. We'll only send the good stuff, promise!

By completing this form, you are signing up to receive our emails and can unsubscribe at any time

Hands-On Machine Learning with Scikit-Learn and TensorFlow

by Aurélien Géron
Hands-On Machine Learning with Scikit-Learn and TensorFlow - Thryft
Hands-On Machine Learning with Scikit-Learn and TensorFlow - Thryft

Practical guide to mastering machine learning effortlessly

This book is a must-read for anyone looking to dive into the world of machine learning. With its straightforward approach and practical examples, it demystifies complex concepts and equips readers with the tools to implement intelligent systems. Whether you're a programmer with little knowledge of the subject or an experienced data scientist, this book will guide you step-by-step, helping you build a strong foundation and explore advanced techniques. Get ready to unlock the immense potential of machine learning with this hands-on guide.

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 and TensorFlow

by Aurélien Géron
Condition guide

Book Condition Guide

Books in Like New Condition

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.

Books in Very Good Condition

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.

Books in Good Condition

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.

 

Find out more about our process here.

Save 10% On This Item as a Thryft Club Member

Join Thryft Club for S$30/year and enjoy 10% off everything, plus S$10 off your first order. Join now →

ISBN: 9781491962299
Authors: Aurélien Géron
Publisher: O'Reilly Media
Date of Publication: 2017-03-01
Format: Paperback
Related Collections: Science
Goodreads rating: 4.55
(rated by 2422 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. This practical book shows you how.By using concrete examples, minimal theory, and two production-ready Python frameworks--scikit-learn and TensorFlow--author Aurelien Geron 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. * Explore the machine learning landscape, particularly neural nets * Use scikit-learn to track an example machine-learning project end-to-end * Explore several training models, including support vector machines, decision trees, random forests, and ensemble methods * Use the TensorFlow library to build and train neural nets * Dive into neural net architectures, including convolutional nets, recurrent nets, and deep reinforcement learning * Learn techniques for training and scaling deep neural nets * Apply practical code examples without acquiring excessive machine learning theory or algorithm details
 

Practical guide to mastering machine learning effortlessly

This book is a must-read for anyone looking to dive into the world of machine learning. With its straightforward approach and practical examples, it demystifies complex concepts and equips readers with the tools to implement intelligent systems. Whether you're a programmer with little knowledge of the subject or an experienced data scientist, this book will guide you step-by-step, helping you build a strong foundation and explore advanced techniques. Get ready to unlock the immense potential of machine learning with this hands-on guide.

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.