The elements of statistical learning : data mining, inference, and prediction Trevor Hastie, Robert Tibshirani and Jerom Friedman.

By: Hastie, TrevorContributor(s): Tibshirani, Robert | Friedman, J. H. (Jerome H.) | Friedman, J. H. (Jerome H.)Series: Springer series in statisticsPublisher: New York : Springer-Verlag New York ; c2009Edition: 2nd edDescription: xxii, 745 p. : ill. (some col.) ; 24 cmISBN: 9780387848570; 0387848576Subject(s): Supervised learning (Machine learning)DDC classification: 006.31 Online resources: Click here to access online
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280 SCB (Browse shelf) Available SCB-10511
Book Book Central Library (CL)
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NFIC First Floor - Artificial Intelligence/Data Mining 006.31 HAS (Browse shelf) Available SEECS010934
Book Book Central Library (CL)
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NFIC First Floor - Artificial Intelligence/Data Mining 006.31 HAS (Browse shelf) Available SEECS010935
Book Book Central Library (CL)
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NFIC First Floor - Artificial Intelligence/Data Mining 006.31 HAS (Browse shelf) Available SEECS010511
Book Book Central Library (CL)
Central Library (CL)
NFIC First Floor - Artificial Intelligence/Data Mining 006.31 HAS (Browse shelf) Available SEECS010510
Book Book Central Library (CL)
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NFIC First Floor - Artificial Intelligence/Data Mining 006.31 HAS (Browse shelf) Checked out to Saeed Afzal (37403-0659689-1) 11/01/2024 SEECS010509
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