Format:
1 Online-Ressource (1 online resource)
Edition:
Second Edition
ISBN:
9781108690935
,
1108690939
Content:
"The second edition of this text is a complete revision of our first endeavor, with virtually every chapter of the original rewritten from the ground up and eight new chapters of material added, doubling the size of the first edition. Topics from the first edition, from expositions on gradient descent to those on One-versus- All classification and Principal Component Analysis have been reworked and polished. A swath of new topics have been added throughout the text, from derivative-free optimization to weighted supervised learning, feature selection, nonlinear feature engineering, boosting-based cross-validation, and more"--
Note:
First edition published 2016
,
Includes bibliographical references and index
Additional Edition:
ISBN 9781108480727
Additional Edition:
Erscheint auch als Druck-Ausgabe Watt, Jeremy Machine learning refined New York : Cambridge University Press, 2020
Language:
English
DOI:
10.1017/9781108690935
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