[资源] (机器学习最新参考书) Understanding Machine Learning - From Theory to Algorithms

Understanding Machine Learning - From Theory to Algorithms
Authors: Shai Shalev-Shwartz and Shai Ben-David
Hardcover: 424 pages
Publisher: Cambridge University Press (May 19, 2014)
Language: English
Book Description: Machine learning makes use of computer programs to discover meaningful patters in complex data. It is one of the fastest growing areas of computer science, with far-reaching applications. This book explains the principles behind the automated learning approach and the considerations underlying its usage. The authors explain the "hows" and "whys" of the most important machine-learning algorithms, as well as their inherent strengths and weaknesses, making the field accessible to students and practitioners in computer science, statistics, and engineering.
Amazon链接：http://www.amazon.com/Understand ... ithms/dp/1107057132

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2015-02-26 14:29:17, 2.85 M

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