The elements of statistical learning : data mining, inference, and prediction / Trevor Hastie, Robert Tibshirani, Jerome Friedman.
By: Hastie, Trevor.
Contributor(s): Tibshirani, Robert | Friedman, J. H. (Jerome H.).
Series: 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); 9780387848587 (electronic).Subject(s): Machine learning | Statistics -- Methodology | Data mining | Bioinformatics | Inference | Forecasting | Computational intelligenceDDC classification: 006.3/1 Online resources: Full-text hereItem type | Current location | Call number | Status | Date due | Barcode | Item holds |
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Book | Skoltech library Shelves | Q325.5 .H39 2009 (Browse shelf) | Available | 2000006387 |
Total holds: 0
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Q325.5 .B1 Dimension Reduction A Guided Tour | Q325.5 .B1 Dimension Reduction A Guided Tour | Q325.5 .G66 2016 Deep learning / | Q325.5 .H39 2009 The elements of statistical learning : | Q325.5.J1 Graphical models, expotential families, and variational inference / | Q325.5 .M36 2001 Recurrent neural networks for prediction : | Q325.5 .M64 2012 Foundations of machine learning / |
Includes bibliographical references (p. [699]-727) and indexes.
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