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, Reza Borhani, Aggelos K. Katsaggelos.

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:© 2020
  • Edition:Second edition

Publication Statements

Notes

First edition published 2016.

The Physical Object

  • Description:xxi, 574 pages : : illustrations (some color) ; : 26 cm

Edition Identifiers

  • ISBN:9781108480727, 1108480721
  • oclc:on1201996511
  • LC Classification:Q325.5
  • Dewey Decimal:006.3/1

Subjects

Apprentissage automatique Künstliche Intelligenz Machine learning Maschinelles Lernen

Writers

Watt, Jeremy Borhani, Reza Katsaggelos, Aggelos Konstantinos

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