Hands-on Machine Learning With Scikit-learn, Keras, and Tensorflow ― Concepts, Tools, and Techniques to Build Intelligent Systems
- ISBN13：9781492032649
- 出版社：Oreilly & Associates Inc
- 作者：Aurelien Geron
- 裝訂／頁數：平裝／600頁
- 規格：24.1cm*17.8cm*3.8cm (高/寬/厚)
- 版次：2
- 出版日：2019/10/15
商品簡介
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.
The updated edition of this practical book uses concrete examples, minimal theory, and three production-ready Python frameworks—scikit-learn, Keras, and TensorFlow—to help 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.
作者簡介
Aurélien Géron is a Machine Learning consultant, author of the O’Reilly book Hands-on Machine Learning with Scikit-Learn and TensorFlow. A former Googler, he led YouTube’s 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 a software engineer in a variety of domains: finance, defense, health care, and more.
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