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.
Availability: In Stock
The Elements of Statistical Learning: Data Mining, Inference & Prediction 2nd Edition By Jerome Friedman
SKU: TESL02
$39.90
You save
Springer
New
978-0387848570
by Jerome Friedman
Paperback
New
978-0387848570
by Jerome Friedman
Paperback
200 in stock
BUY MORE. SAVE MORE!
Quantity | Discount (%) | Price |
---|---|---|
1 - 9 | โ | $39.90 |
10 - 19 | 10 % | $35.91 |
20 - 29 | 15 % | $33.92 |
30 - 39 | 20 % | $31.92 |
40+ | 25 % | $29.93 |
Total:
Your Price Per Book:
Your Price Per Book:
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 |
Reviews
There are no reviews yet.