The Elements of Statistical Learning - Softcover

Glover, Keith

Softcover

ISBN 10: 1981129170 ISBN 13: 9781981129171

Publisher: Createspace Independent Pub, 2016

Synopsis

The Elements of Statistical Learning 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.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.

Edition details

• Publisher: Createspace Independent Pub
• Publication date: 2016
• ISBN 10: 1981129170
• ISBN 13: 9781981129171
• Binding: Paperback
• Language: English
• Number of pages: 422