United Kingdom
France
Germany
Netherlands
Sweden
USA
Italy
Spain
More From Contributor
The Elements Of Statistical Learning: Data Mining, Inference, And
Prediction, Second Edition
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 features many topics not covered in the original including graphical models random forests ensemble methods least angle regression
& path algorithms for the lasso non-negative matrix factorisation and spectral clustering There is also a chapter on methods for wide'' data (p bigger than n) including multiple testing and false discovery rates
& path algorithms for the lasso non-negative matrix factorisation and spectral clustering There is also a chapter on methods for wide'' data (p bigger than n) including multiple testing and false discovery rates
Product Description
Reviews/Comments
Add New
Vouchers
No voucher codes found.
Do you know a voucher code for this product or supplier? Add it to Insights for others to use.
Do you know a voucher code for this product or supplier? Add it to Insights for others to use.
Denmark