The elements of statistical learning : data mining, inference, and prediction / Trevor Hastie, Robert Tibshirani, Jerome Friedman.
Material type: TextSeries: Springer series in statisticsPublication details: New York, NY : Springer, c2017Edition: 2nd edDescription: xxii, 745 p. : ill. (some col.) ; 25 cmISBN: 9780387848570 (hbk)Subject(s): Machine learning | Statistics -- Methodology | Data mining | Bioinformatics | Inference | Forecasting | Computational intelligenceDDC classification: 006.31Item type | Current library | Call number | Copy number | Status | Date due | Barcode | Item holds |
---|---|---|---|---|---|---|---|
Books | Namal Library Mathematics | 006.31 HAS-T 2017 10613 (Browse shelf (Opens below)) | 1 | Available | 0010613 |
Total holds: 0
Browsing Namal Library shelves, Shelving location: Mathematics Close shelf browser (Hides shelf browser)
No cover image available | ||||||||
005.1 ALS-A 2006 1939 Algorithms : design techniques and analysis vol. 7 / | 005.1 ALS-A 2006 1940 Algorithms : design techniques and analysis vol. 7 / | 005.133 KAB-R 2011 2002 R in action: | 006.31 HAS-T 2017 10613 The elements of statistical learning : data mining, inference, and prediction / | 320.101 KUB-S 2012 12029 Stat / | 330.01/51 SYD-E 2018 10774 Essential mathematics for economic analysis / | 330.01/51 SYD-E 2018 10775 Essential mathematics for economic analysis / |
Includes bibliographical references (p. [699]-727) and indexes.
There are no comments on this title.