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Hands-On Machine Learning with Scikit-Learn and TensorFlow

Aurélien Géron

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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

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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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*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: 9781491962299
Author: 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.

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