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An introduction to statistical learning : with applications in R / Gareth James, Daniela Witten, Trevor Hastie, Robert Tibshirani.

Contributor(s): Material type: TextTextSeries: Springer texts in statistics ; 103.Description: xvi, 426 pages : illustrations (some color) ; 24 cmISBN:
  • 9781461471370 (acidfree paper)
  • 1461471370 (acidfree paper)
Other title:
  • Statistical learning
Subject(s): DDC classification:
  • 519.5 23
LOC classification:
  • QA276 .I58 2013
Contents:
Statistical learning -- Linear regression -- Classification -- resampling methods -- Linear models selection and regularization and regularization -- Moving beyond linearity -- Tree-based methods -- Support Vector machines -- Unsupervised learning.
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Holdings
Item type Current library Collection Call number Copy number Status Date due Barcode
Books Books Zetech Library - TRC General Stacks Non-fiction QA276 .I58 2013 (Browse shelf(Opens below)) C1 Available Z009607

Includes index.

Statistical learning -- Linear regression -- Classification -- resampling methods -- Linear models selection and regularization and regularization -- Moving beyond linearity -- Tree-based methods -- Support Vector machines -- Unsupervised learning.

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