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Jerome Friedman
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-Verlag New York |
|---|---|
| Pages | 745 |
| Format | [electronic resource] : |
| Search language | english |
| ISBN_13 | 978-0-387-84857-0 primary |
| ISBN_13 | 978-0-387-84858-7 primary |
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