The elements of statistical learning
data mining, inference, and prediction : with 200 full-color illustrations
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Contributions
- Tibshirani, Robert. - Contributor
- Friedman, J. H. - Contributor
Publication
2001 - Springer, New York, New York (State)
Language
English
Word Count
133,250 words, Guess
Page Count
533 pages
Identifiers
- Open LibraryOL15507937M
- ISBN-100387952845
- OCLC Control Number46809224
- OCLC Control Number51681104
- OCLC Control Numberelementsstatisti00hast_237
and 3 more
- Library of Congress Control Number2001031433
- Goodreads148009
- LibraryThing90490
Classifications
- LCCQ325.75 H37 2001
Description
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.
Subjects
Topics
Series Statement
- Springer series in statistics
Other Editions
- The elements of statistical learning: data mining, inference, and prediction : with 200 full-color illustrations
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