Understanding machine learning : from theory to algorithms /

Understanding machine learning : from theory to algorithms /

"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 fundament...

書目詳細資料
主要作者:	Shalev-Shwartz, Shai
其他作者:	Ben-David, Shai
格式:	圖書
語言:	English
出版:	New York, NY, USA ; India : Cambridge University Press, 2014. [Reprinted 2022]
版:	First south asia edition 2015
主題:	Machine learning. Algorithms. COMPUTERS / Computer Vision & Pattern Recognition.
Classic Catalogue:	View this record in Classic Catalogue

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