Understanding Machine Learning

Machine learning is one of the fastest growing areas of computer science, with far-reaching applications. The aim of this textbook is to introduce machine learning, and the algorithmic paradigms it offers, in a principled way. The book provides an extensive theoretical account of the fundamental ideas underlying machine learning and the mathematical derivations that transform these principles into practical algorithms.

Publication:  Cambridge University Press
Writer: Shai Shalev-Shwartz and Shai Ben-David Fawcett
ISBN: 978-1-107-05713-5
Year: 2014
Pages: 449
Language: English
Size: 2.5 MB
Format: PDF

 

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