Springer Series in Statistics Ser.: Elements of Statistical Learning : Data...
USD 45.99 USD
The product is the book "Elements of Statistical Learning: Data Mining, Inference, and Prediction" by Trevor Hastie, Jerome Friedman, Robert Tibshirani, and J. H. Friedman. Published by Springer New York in 2009, this textbook belongs to the Springer Series in Statistics Ser. It covers subjects such as Probability & Statistics / General, Intelligence (AI) & Semantics, and Databases / Data Mining. With a hardcover format and weighing 51.2 Oz, this 745-page book in English is a valuable resource for those interested in statistical learning and its applications in data mining, inference, and prediction.
Specifications
| Country Of Origin | United States |
| ISBN | 9780387848570 |
| Subject Area | Mathematics, Computers |
| Publisher | Springer New York |
| Item Length | 9.4 in |
| Publication Year | 2009 |
| Type | Textbook |
| Format | Hardcover |
| Language | English |
| Item Height | 1.5 in |
| Item Weight | 51.2 Oz |
| Item Width | 6.5 in |
| Number Of Pages | Xxii, 745 Pages |
You will find that this textbook has a handy index of symbols and abbreviations.
