An introduction to statistical learning : with applications in R / Gareth James, Daniela Witten, Trevor Hastie, Robert Tibshirani.
Material type: TextSeries: Springer texts in statistics ; 103.Description: xvi, 426 pages : illustrations (some color) ; 24 cmISBN:- 9781461471370 (acidfree paper)
- 1461471370 (acidfree paper)
- Statistical learning
- 519.5 23
- QA276 .I58 2013
Item type | Current library | Collection | Call number | Copy number | Status | Date due | Barcode | |
---|---|---|---|---|---|---|---|---|
Books | Zetech Library - TRC General Stacks | Non-fiction | QA276 .I58 2013 (Browse shelf(Opens below)) | C1 | Available | Z009607 |
Browsing Zetech Library - TRC shelves, Shelving location: General Stacks, Collection: Non-fiction Close shelf browser (Hides shelf browser)
QA276 .H64 2014 Introduction to mathematical statistics / | QA276 .H64 2020 Introduction to mathematical statistics / | QA276.I2 .T75 2015 Essentials of statistics / | QA276 .I58 2013 An introduction to statistical learning : with applications in R / | QA276 .K56 2004 Fundamentals of applied statistics / | QA276 .K56 2004 Fundamentals of applied statistics / | QA276 .K84 2013 Applied predictive modeling / |
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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