Understanding Machine Learning: From Theory to Algorithms - Tapa dura

Shalev-Shwartz, Shai

 
9781107057135: Understanding Machine Learning: From Theory to Algorithms

Sinopsis

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.

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Acerca de los autores

Shai Shalev-Shwartz is an Associate Professor at the School of Computer Science and Engineering at the Hebrew University of Jerusalem, Israel.

Shai Ben-David is a Professor in the School of Computer Science at the University of Waterloo, Canada.

"Sobre este título" puede pertenecer a otra edición de este libro.

Otras ediciones populares con el mismo título

9781107512825: Understanding Machine Learning: From Theory To Algorithms

Edición Destacada

ISBN 10:  1107512824 ISBN 13:  9781107512825
Editorial: CAMBRIDGE INDIA, 2015
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