The Elements of Statistical Learning

The Elements of Statistical Learning by Trevor Hastie


ISBN
9780387848570
Published
Binding
Hardcover
Pages
745
Dimensions
155 x 235mm

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.
EOFY 2025 Book Frenzy
125.79
RRP: $147.99
15% off RRP


This product is unable to be ordered online. Please check in-store availability.
Instore Price: $147.99
Enter your Postcode or Suburb to view availability and delivery times.

Other Titles by Trevor Hastie


You might also like


RRP refers to the Recommended Retail Price as set out by the original publisher at time of release.
The RRP set by overseas publishers may vary to those set by local publishers due to exchange rates and shipping costs.
Due to our competitive pricing, we may have not sold all products at their original RRP.