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Last edited by Tom Morris
February 14, 2026 | History
Describes important statistical ideas in machine learning, data mining, and bioinformatics. Covers a broad range, from supervised learning (prediction), to unsupervised learning, including classification trees, neural networks, and support vector machines.
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Previews available in: English
Subjects
| Edition | Availability |
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1
Elements of Statistical Learning: Data Mining, Inference, and Prediction
2013, Springer London, Limited
in English
0387216065 9780387216065
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2
The Elements of Statistical Learning: Data Mining, Inference, and Prediction
2009, Springer-Verlag New York
electronic resource :
in English
0387848576 9780387848570
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| 3 |
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4
The Elements of Statistical Learning: Data Mining, Inference, and Prediction, Second Edition
Nov 01, 2008, Springer
paperback
0387848843 9780387848846
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| 5 |
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6
The elements of statistical learning: data mining, inference, and prediction
2001, Springer
in English
0387952845 9780387952840
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7
The elements of statistical learning: data mining, inference, and prediction : with 200 full-color illustrations
2001, Springer
in English
0387952845 9780387952840
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Book Details
Edition Notes
Includes bibliographical references (p. [509]-522) and indexes.



