The elements of statistical learning : data mining, inference, and prediction / Trevor Hastie, Robert Tibshirani, Jerome Friedman.
By: Hastie, Trevor [author.].
Contributor(s): Tibshirani, Robert [author.] | Friedman, J. H. (Jerome H.) [author.].
Series: Springer series in statistics: Publisher: New York : Springer, [2009]Copyright date: ©2009Edition: Second edition, corrected 7th printing.Description: 1 online resource (xxii, 745 pages) : color illustrations.Content type: text Media type: computer Carrier type: online resourceISBN: 9780387848587; 0387848584; 9781282126749; 1282126741.Subject(s): Supervised learning (Machine learning) | Electronic data processing | Statistics | Biology -- Data processing | Computational biology | Mathematics -- Data processing | Data miningGenre/Form: Electronic books.Additional physical formats: Print version:: Elements of statistical learning.DDC classification: 006.3/1 22 Online resources: An electronic book accessible through the World Wide Web; click to view| Item type | Current location | Call number | Status | Notes | Date due | Barcode |
|---|---|---|---|---|---|---|
| Main Collection | Taylor's Library - Perpetual(TU) | 006.3/1 22 (Browse shelf) | e-book | SCExx,12703,03,RM,PPT | SCSxx,12703,03,RM,PPT |
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| 006.3/1 The elements of statistical learning : | 006.3/1 The elements of statistical learning : | 006.3/1 Hands-on machine learning with R / | 006.3/1 22 The elements of statistical learning : | 006.3/12 Handbook of statistical analysis and data mining applications | 006.3/12 Exploratory data analysis using R / | 006.3/12 Big data computing / |
Second edition corrected at 7th printing in 2013.
Includes bibliographical references (pages 699-727) and indexes.
Online resource and print version record. SpringerLink (viewed September 29, 2014).
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