The elements of statistical learning : data mining, inference, and prediction Trevor Hastie, Robert Tibshirani and Jerom Friedman.
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| Item type | Current location | Home library | Collection | Shelving location | Call number | Status | Date due | Barcode | Item holds |
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Central Library (CL) | Central Library (CL) | 280 SCB (Browse shelf) | Available | SCB-10511 | ||||
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Central Library (CL) | Central Library (CL) | NFIC | First Floor - Artificial Intelligence/Data Mining | 006.31 HAS (Browse shelf) | Available | SEECS010934 | ||
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Central Library (CL) | Central Library (CL) | NFIC | First Floor - Artificial Intelligence/Data Mining | 006.31 HAS (Browse shelf) | Available | SEECS010935 | ||
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Central Library (CL) | Central Library (CL) | NFIC | First Floor - Artificial Intelligence/Data Mining | 006.31 HAS (Browse shelf) | Available | SEECS010511 | ||
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Central Library (CL) | Central Library (CL) | NFIC | First Floor - Artificial Intelligence/Data Mining | 006.31 HAS (Browse shelf) | Available | SEECS010510 | ||
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Central Library (CL) | Central Library (CL) | NFIC | First Floor - Artificial Intelligence/Data Mining | 006.31 HAS (Browse shelf) | Checked out | 11/01/2024 | SEECS010509 |
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