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

4.0 out of 5 stars 1 customer review

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

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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: 68608 KB
  • Print Length: 576 pages
  • 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: 4.0 out of 5 stars 1 customer review
  • Amazon Bestsellers Rank: #109,633 Paid in Kindle Store (See Top 100 Paid in Kindle Store)

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7 June 2018
Format: Kindle EditionVerified Purchase

Most helpful customer reviews on Amazon.com

Amazon.com: 4.5 out of 5 stars 251 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
Verified Purchase
132 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
Verified Purchase
49 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
136 people found this helpful.

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