Understanding Machine Learning: From Theory to Algorithms - Shalev-Shwartz, Shai (Hebrew University of Jerusalem) - Books - Cambridge University Press - 9781107057135 - May 19, 2014
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Shalev-Shwartz, Shai (Hebrew University of Jerusalem)
Understanding Machine Learning: From Theory to Algorithms

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Machine learning 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 machine-learning algorithms, making the field accessible to both students and practitioners.

424 pages, 47 b/w illus. 123 exercises

Media Books     Hardcover Book   (Book with hard spine and cover)
Released May 19, 2014
ISBN13 9781107057135
Publishers Cambridge University Press
Pages 410
Dimensions 261 × 186 × 27 mm   ·   970 g
Language English  

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