This book describes the important ideas in a variety of fields such as medicine, biology, finance, and marketingย in a common conceptual framework. While the approach is statistical, the emphasis is on concepts rather than mathematics. Many examples are given, with a liberal use of colour graphics. It isย a valuable resource for statisticians and anyone interested in data mining in science or industry. The book’s coverage is broad, from supervised learning (prediction) to unsupervised learning. The many topics include neural networks, support vector machines, classification trees and boosting—the first comprehensive treatment of this topic in any book.
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The Elements of Statistical Learning: Data Mining, Inference, and Prediction 2nd Edition
SKU: BB00072
$39.90
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Springer
New
978-0387848570
by Jerome Friedman
Paperback
New
978-0387848570
by Jerome Friedman
Paperback
200 in stock
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| ISBN - 13 | 978-0387848570 |
|---|---|
| ISBN - 10 | 387848576 |
| Publisher | Springer |
| Condition | New |
| Format | Hardcover |
| Edition | 2nd |
| Dimensions | 9.3 x 6 x 1.4 inches |
| Item Weight | 2.65 pounds |
| Pages | 767 |
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