The Elements of Statistical Learning: Data Mining, Inference, and Prediction, Second Edition (2009, Corr. 9th Printing 2017)

(Author) (Author)
& 1 more
Available

Product Details

Price
$103.49
Publisher
Springer
Publish Date
Pages
745
Dimensions
6.3 X 9.5 X 1.39 inches | 2.67 pounds
Language
English
Type
Hardcover
EAN/UPC
9780387848570

Earn by promoting books

Earn money by sharing your favorite books through our Affiliate program.

Become an affiliate

About the Author

Trevor Hastie, Robert Tibshirani, and Jerome Friedman are professors of statistics at Stanford University. They are prominent researchers in this area: Hastie and Tibshirani developed generalized additive models and wrote a popular book of that title. Hastie co-developed much of the statistical modeling software and environment in R/S-PLUS and invented principal curves and surfaces. Tibshirani proposed the lasso and is co-author of the very successful An Introduction to the Bootstrap. Friedman is the co-inventor of many data-mining tools including CART, MARS, projection pursuit and gradient boosting.