You don't need to own a Kindle device to enjoy Kindle books. Download one of our FREE Kindle apps to start reading Kindle books on all your devices.

  • Apple
    Apple
  • Android
    Android
  • Windows Phone
    Windows Phone
  • Click here to download from Amazon appstore
    Android

To get the free app, enter your mobile phone number.

kcpAppSendButton

Buying Options

Kindle Price: $34.92
includes tax, if applicable

These promotions will be applied to this item:

Some promotions may be combined; others are not eligible to be combined with other offers. For details, please see the Terms & Conditions associated with these promotions.

Deliver to your Kindle or other device

Deliver to your Kindle or other device

<Embed>
Hands-On Machine Learning with Scikit-Learn and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems by [Géron, Aurélien]
Kindle App Ad

Hands-On Machine Learning with Scikit-Learn and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems 1st Edition, Kindle Edition

4.5 out of 5 stars 2 customer reviews

See all 3 formats and editions Hide other formats and editions
Amazon Price
New from Used from
Kindle
$34.92

Length: 576 pages Enhanced Typesetting: Enabled Page Flip: Enabled
Language: English

Kindle Monthly Deals
Kindle Monthly Deals
New deals each month starting at $1.49. Learn more

Product description

Product Description

Graphics in this book are printed in black and white.

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.

  • 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

About the Author

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.


Product details

  • Format: Kindle Edition
  • File Size: 68571 KB
  • Print Length: 576 pages
  • Page Numbers Source ISBN: 1491962291
  • Simultaneous Device Usage: Unlimited
  • Publisher: O'Reilly Media; 1 edition (13 March 2017)
  • Sold by: Amazon Australia Services, Inc.
  • Language: English
  • ASIN: B06XNKV5TS
  • Text-to-Speech: Enabled
  • X-Ray:
  • Word Wise: Not Enabled
  • Enhanced Typesetting: Enabled
  • Average Customer Review: 4.5 out of 5 stars 2 customer reviews
  • Amazon Bestsellers Rank: #122,248 Paid in Kindle Store (See Top 100 Paid in Kindle Store)
click to open popover

2 customer reviews

4.5 out of 5 stars

Review this product

Share your thoughts with other customers

Showing 1-2 of 2 reviews

12 April 2019
Format: PaperbackVerified Purchase
7 June 2018
Format: Kindle EditionVerified Purchase

Most helpful customer reviews on Amazon.com

Amazon.com: 4.4 out of 5 stars 289 reviews
Nick Normandin
5.0 out of 5 starsMaybe of the best practical machine learning book I've ever read
25 June 2017 - Published on Amazon.com
Format: PaperbackVerified Purchase
180 people found this helpful
Steven Marton
5.0 out of 5 starsIf I had to pick just one book to get me into machine learning, this would be it!
16 September 2017 - Published on Amazon.com
Format: PaperbackVerified Purchase
58 people found this helpful
Dog lover
5.0 out of 5 starsI have been searching for a good hands-on book on tensorflow and had found none until ...
5 April 2017 - Published on Amazon.com
Format: Kindle EditionVerified Purchase
145 people found this helpful