Understanding machine learning
from theory to algorithms
Shalev-Shwartz, Shai
creator
creator
author.
Ben-David, Shai
author.
text
nyu
New York, NY, USA
Cambridge University Press
2014
monographic
eng
Eng
lis
h
xvi, 397 pages : illustrations (black and white) ; 27 cm
"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 Read more...
PART I:Foundations PART II:From Theory to Algorithms PART III:Additional Learning Models PART IV:Advanced Theory
Shai Shalev-Shwartz, Shai Ben-David.
Includes bibliographical references and index.
Machine learning
Algorithms
006.31 SHA
9781107057135
9781107512825
140428
20190905123720.0