The elements of statistical learning data mining, inference, and prediction by Trevor Hastie, Robert Tibshirani and Jerome Friedman.
Material type:
TextSeries: Springer series in statisticsPublication details: New York, NY Springer c2009.Edition: 2nd edDescription: xxii, 745 p. ill. (some col. 25 cmISBN: - 9780387848570 (hardcover : alk. paper
- 9780387848587 (electronic
- 006.31 H279E
| Item type | Home library | Call number | Status | Date due | Barcode | Item holds |
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S. R. Ranganathan Learning Hub | 006.31 H279E (Browse shelf(Opens below)) | Checked out to Raman Rishi (M21MA206) | 19/07/2024 | 05269 | |
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Book
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S. R. Ranganathan Learning Hub | 006.31 H279E (Browse shelf(Opens below)) | Available | 06484 | ||
|
Book
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S. R. Ranganathan Learning Hub | 006.31 H279E (Browse shelf(Opens below)) | Available | 05254 | ||
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Book
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S. R. Ranganathan Learning Hub | 006.31 H279E (Browse shelf(Opens below)) | Available | 06483 |
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| 006.31 G616D Deep Learning | 006.31 G616D Deep Learning | 006.31 H279E The elements of statistical learning data mining, inference, and prediction | 006.31 H279E The elements of statistical learning data mining, inference, and prediction | 006.31 H279E The elements of statistical learning data mining, inference, and prediction | 006.31 H279E The elements of statistical learning data mining, inference, and prediction | 006.31 M695M Machine Learning |
Includes bibliographical references (p. [699]-727) and indexes.
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