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Trevor Hastie
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.
| Publisher | Springer |
|---|---|
| Pages | 533 |
| Search language | english |
| ISBN_10 | 0-387-95284-5 primary |
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