Machine learning refined

Machine learning refined: foundations, algorithms, and applications

by Watt, Jeremy

Type Book
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"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 optimiz…

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Title Statements

  • Full title :Machine learning refined : foundations, algorithms, and applications / Jeremy Watt, Northwestern University, Illinois, Reza Borhani, Northwestern University, Illinois, Aggelos K. Katsaggelos, Northwestern University, Illinois.

Summary

"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"--

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Edition Statements

  • Publication Date:© Cambridge University Press 2020.
  • Edition:Second Edition

Publication Statements

  • Publisher(s):Cambridge University Press
  • Place of Publication:New York
  • Language:eng
  • Publication Date:© Cambridge University Press 2020.

Notes

First edition published 2016.

The Physical Object

  • Description:1 online resource

Edition Identifiers

  • ISBN:9781108690935, 1108690939
  • oclc:on1130331431
  • LC Classification:Q325.5
  • Dewey Decimal:006.3/1

Subjects

Apprentissage automatique Machine learning

Writers

Watt, Jeremy Borhani, Reza Katsaggelos, Aggelos Konstantinos

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