Kernel Methods and Machine Learning - Kung, S. Y. (Princeton University, New Jersey) - Books - Cambridge University Press - 9781107024960 - April 17, 2014
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Kernel Methods and Machine Learning

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Containing numerous algorithms and major theorems, this step-by-step guide covers the fundamentals of kernel-based learning theory. Including over two hundred problems and real-world examples, it is an essential resource for graduate students and professionals in computer science, electrical and biomedical engineering. Solutions to problems are provided online for instructors.


602 pages, 136 b/w illus. 21 tables

Media Books     Hardcover Book   (Book with hard spine and cover)
Released April 17, 2014
ISBN13 9781107024960
Publishers Cambridge University Press
Pages 572
Dimensions 174 × 255 × 32 mm   ·   1.22 kg
Language English  

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