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

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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 (Author) Format: Paperback
4.8 out of 5 stars (3,463)
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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 frameworksâ??Scikit-Learn and TensorFlowâ??author Aurélien Géron helps you gain an intuitive understanding of the concepts and tools for building intelligent systems. Youâ??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 youâ??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

Read more
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  1. ISBN-10
    1492032646
  2. ISBN-13
    978-1492032649
  3. Edition
    2nd
  4. Publisher
    O'Reilly Media
  5. Publication date
    October 15, 2019
  6. Language
    English
  7. Dimensions
    7 x 1.5 x 9.5 inches
  8. Print length
    848 pages
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Editorial Reviews

About the Author

Aurélien Géron is a machine learning consultant and trainer. A former Googler, he led YouTube's video classification team from 2013 to 2016. He was also a founder and CTO of Wifirst (a leading Wireless ISP in France) from 2002 to 2012, and a founder and CTO of two consulting firms -- Polyconseil (telecom, media and strategy) and Kiwisoft (machine learning and data privacy).

Product details

  • Publisher ‏ : ‎ O'Reilly Media
  • Publication date ‏ : ‎ October 15, 2019
  • Edition ‏ : ‎ 2nd
  • Language ‏ : ‎ English
  • Print length ‏ : ‎ 848 pages
  • ISBN-10 ‏ : ‎ 1492032646
  • ISBN-13 ‏ : ‎ 978-1492032649
  • Item Weight ‏ : ‎ 2.85 pounds
  • Dimensions ‏ : ‎ 7 x 1.5 x 9.5 inches
  • Best Sellers Rank: #301,330 in Books (See Top 100 in Books)
  • Customer Reviews:
    4.8 out of 5 stars (3,463)

About the author

Follow authors for new release and deal updates, plus improved recommendations. See updates from all followed authors in Your Books.
Aurélien Géron

Aurélien Géron

Brief content visible, double tap to read full content.
Full content visible, double tap to read brief content.

Aurélien Géron is a Machine Learning consultant. A former Googler, he led the YouTube video classification team from 2013 to 2016. He was also a founder and CTO of Wifirst from 2002 to 2012, a leading Wireless ISP in France, and a founder and CTO of Polyconseil in 2001, the firm that now manages the electric car sharing service Autolib'.

Before this he worked as an engineer in a variety of domains: finance (JP Morgan and Société Générale), defense (Canada's DOD), and healthcare (blood transfusion). He published a few technical books (on C++, WiFi, and Internet architectures), and was a Computer Science lecturer in a French engineering school.

A few fun facts: he taught his 3 children to count in binary with their fingers (up to 1023), he studied microbiology and evolutionary genetics before going into software engineering, and his parachute didn't open on the 2nd jump.

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Customer reviews

4.8 out of 5 stars
3,463 global ratings

Customers say

Customers find this machine learning book to be one of the best references available, with comprehensive coverage of data science principles and techniques. The book is well-organized and easy to understand, with valuable examples and working code samples throughout. They appreciate the writing quality and consider it worth the money, making it a must-have for machine learning practitioners.
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143 customers mention content, 129 positive, 14 negative
Customers praise the book's content, describing it as excellent and one of the best data science books ever written.
Great book, very summarised and direct to the subject, it shows everything you need to initiate or improve your skills about data science.Read more
It's such a pity to have such a good book so poorly printed. Some words only have half printed. Lots of words and figs have a blur feeling....Read more
...In summary, it is an excellent book if you are looking for real-life examples with python code and you have a good basic idea in ML.Read more
Great content but similar to others the printing is awful. I’m only 40 pages in and several pages are in the wrong order!...Read more
76 customers mention informative, 71 positive, 5 negative
Customers find the book informative, providing a comprehensive introduction to machine learning concepts and techniques, with a strong focus on the non-deep learning aspects.
...many textbooks and this is one of those books that is interesting, informative and well structured and includes so many great details....Read more
...Really comprehensive and easy to follow.Read more
The actual information presented in this textbook is very insightful and I am thoroughly enjoying it....Read more
...Machine Learning with Scikit-Learn, Keras, and TensorFlow' was a real eye-opener for us tech enthusiasts....Read more
39 customers mention practical, 39 positive, 0 negative
Customers find the book practical and helpful, serving as a must-have resource for machine learning practitioners with valuable examples.
...It's a great resource for anyone who wants to build intelligent systems using Python and the mentioned libraries....Read more
Wonderful book! Just what I expected. Very practical, hands-on like the title says....Read more
The most useful book I have ever read on any subject. The quality of the material is extraordinary.Read more
Hands-On Machine Learning is a comprehensive resource for learning classical machine learning with Scikit-Learn....Read more
36 customers mention organization, 32 positive, 4 negative
Customers appreciate the book's organization, noting its great explanations, detailed content, and well-structured format. One customer mentions that the Jupyter notes accompanying each chapter are particularly helpful.
...the top of all the line of codes for ease of finding and it was well structured for that I will give it three stars....Read more
...is not your thing, Géron walks you through machine learning with clear examples and ample explanations....Read more
...I'm glad I decided to get a physical copy. Great explanations and background info, and clear coding examples....Read more
...I have read its first chapter and I can see excellent explanations and very clear content with pictures in colors.Read more
29 customers mention readability, 21 positive, 8 negative
Customers find the book easy to understand and read, with one customer noting that it takes readers through models step-by-step.
...great and even if one does not know python programming it is easy to follow along....Read more
...is very good and provides step by step instruction that makes it easy to follow and understand the concept behind each test....Read more
...One heads up is that it's not an easy read....Read more
I have read many books, this one is very good. Clear, details, hands-on approach. I recommend it 100%.Read more
25 customers mention writing quality, 24 positive, 1 negative
Customers praise the writing quality of the book, finding it wonderfully composed and well-organized, with one customer specifically noting the clarity of the code examples.
Well written book well balanced between technical vs. being descriptive.Read more
A nice educational, very well written and up to date overview of machine learning techniques + tons of practical and well documented code in python...Read more
Well written book that has a lot to offer.Read more
Wonderfully written and code that you can download to follow along on your computer....Read more
17 customers mention value for money, 13 positive, 4 negative
Customers find the book worth the money.
...if there are some chapters you end up liking less then it's still worth the money. One heads up is that it's not an easy read....Read more
...Definietly worth the price!Read more
...This excellent book is well worth the price.Read more
Its quality is ok, but I think it is too expensiveRead more
14 customers mention code content, 11 positive, 3 negative
Customers appreciate the book's code content, with multiple reviews highlighting the working code samples, and one customer noting that the author provides fully disclosed Python 3 code and posts examples on GitHub.
I followed the book step-by-step. It's comprehensive and most of the code works....Read more
...Topics explained with examples and provided codes for practice on terminal as you read. The chapters have questions so you can treat it as a course....Read more
...Throughout the book, clear illustrations and fully disclosed Python 3 code enable the reader to replicate the author's work.Read more
...single time on the first coding example(and other examples) there are codes missing or he doesn't add codes that he has already spoken about, unlike...Read more
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