×


 x 

Shopping cart
Trevor Hastie - The Elements of Statistical Learning - 9780387848570 - V9780387848570
Stock image for illustration purposes only - book cover, edition or condition may vary.

The Elements of Statistical Learning

€ 74.12
FREE Delivery in Ireland
Description for The Elements of Statistical Learning hardcover. This major new edition features many topics not covered in the original, including graphical models, random forests, and ensemble methods. As before, it covers the conceptual framework for statistical data in our rapidly expanding computerized world. Series: Springer Series in Statistics. Num Pages: 745 pages, 282 black & white illustrations, biography. BIC Classification: PBT; PSA; UNF; UYAM; UYQM. Category: (P) Professional & Vocational. Dimension: 244 x 169 x 40. Weight in Grams: 1422.

This book describes the important ideas in a variety of fields such as medicine, biology, finance, and marketing 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 is 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.

This major new edition ... Read more

Show Less

Product Details

Publisher
Springer-Verlag New York Inc. United States
Number of pages
767
Format
Hardback
Publication date
2009
Series
Springer Series in Statistics
Condition
New
Number of Pages
745
Place of Publication
New York, NY, United States
ISBN
9780387848570
SKU
V9780387848570
Shipping Time
Usually ships in 4 to 8 working days
Ref
99-6

About Trevor Hastie
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 ... Read more

Reviews for The Elements of Statistical Learning
From the reviews: "Like the first edition, the current one is a welcome edition to researchers and academicians equally... Almost all of the chapters are revised... The Material is nicely reorganized and repackaged, with the general layout being the same as that of the first edition... If you bought the first edition, I suggest that you buy the second editon ... Read more

Goodreads reviews for The Elements of Statistical Learning


Subscribe to our newsletter

News on special offers, signed editions & more!