The elements of statistical learning : data mining, inference, and prediction / Trevor Hastie, Robert Tibshirani, Jerome Friedman.
By: Hastie, Trevor
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Contributor(s): Tibshirani, Robert | Friedman, J. H. (Jerome H.).
Material type: 
TextSeries: Springer series in statistics.Publisher: New York, NY : Springer, c2009Edition: 2nd ed.Description: xxii, 745 p. : ill. (some col.) ; 25 cm.ISBN: 9780387848570 (hardcover : alk. paper).Subject(s): Machine learning | Statistics -- Methodology | Data mining | Bioinformatics | Inference | Forecasting | Computational intelligenceDDC classification: 006.3
| Item type | Home library | Call number | Status | Date due | Barcode | Item holds |
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Book
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KCST Library | 006.3 Ha El (Browse shelf) | Available | 1000000411 |
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| 006.3 Ag Agent-based modelling of socio-technical systems / | 006.3 Co Computational intelligence in intelligent data analysis / | 006.3 Da Data structures and algorithms with Python. | 006.3 Ha El The elements of statistical learning : | 006.3 Ru Ar Artificial intelligence : | 006.31 Ba Ba Bayesian reasoning and machine learning / | 006.31 Go De Deep learning / |
Includes bibliographical references (p. [699]-727) and indexes.
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