The elements of statistical learning

data mining, inference, and prediction : with 200 full-color illustrations

  • 4.3 (3 ratings)
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  • 3 Have read

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  • 4.3 (3 ratings)
  • 25 Want to read
  • 3 Have read


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Last edited by MARC Bot
August 20, 2024 | History

The elements of statistical learning

data mining, inference, and prediction : with 200 full-color illustrations

  • 4.3 (3 ratings)
  • 25 Want to read
  • 3 Have read

Describes important statistical ideas in machine learning, data mining, and bioinformatics. Covers a broad range, from supervised learning (prediction), to unsupervised learning, including classification trees, neural networks, and support vector machines.

Publish Date
Publisher
Springer
Language
English
Pages
533

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Previews available in: English

Book Details


Edition Notes

Includes bibliographical references (p. [509]-522) and indexes.

Published in
New York
Series
Springer series in statistics

Classifications

Library of Congress
Q325.75 H37 2001, Q325.75 .F75 2001, Q325.75 .H37 2001

The Physical Object

Pagination
xvi, 533 p. :
Number of pages
533

Edition Identifiers

Open Library
OL15507937M
Internet Archive
elementsstatisti00hast_237
ISBN 10
0387952845
LCCN
2001031433
OCLC/WorldCat
46809224, 51681104
LibraryThing
90490
Goodreads
148009

Work Identifiers

Work ID
OL4147338W

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History

Download catalog record: RDF / JSON
August 20, 2024 Edited by MARC Bot import existing book
December 19, 2023 Edited by ImportBot import existing book
May 16, 2023 Edited by loopkid Corrected capitalization and authors
December 8, 2022 Edited by MARC Bot import existing book
December 10, 2009 Created by WorkBot add works page