【重磅首发】Hands On Machine Learning with Scikit Learn and TensorFlow

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A series of Deep Learning breakthroughs have boosted the whole field of machine learning over the last decade. Now that machine learning is thriving, 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 how to use a range of techniques, starting with simple Linear Regression and progressing to Deep Neural Networks. If you have some programming experience and you’re ready to code a machine learning project, this guide is for you.

This hands-on book shows you how to use:

• Scikit-Learn, an accessible framework that implements many algorithms efficiently and serves as a great machine learning entry point
• TensorFlow, a more complex library for distributed numerical computation, ideal for training and running very large neural networks
• Practical code examples that you can apply without learning excessive machine learning theory or algorithm details
  

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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.

这里分享的是我在官网上买的early release版，因为这本书还没有正式出版，但是读了几章之后感觉这本书精度非常高，而且里面很多最新的热门内容都包括进去了。预感出版后会成为一本经典机器学习教材。

ps 书还在更新中，后续有任何更新我会尽量同步上传到论坛。价格可能会有点贵，但是需要的人如果很多的话，我一定会酌情降价~

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关键词：technology efficient practical learning concrete

能给个封面吗

Looks very interesting