The Elements of Statistical Learning
by Robert Tibshirani | January 1, 2016 | Computers & Technology
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&#...
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.
More details for The Elements of Statistical Learning
-
ISBN #
0387848576
-
Page count
767 pages
-
Publication Date
January 1, 2016
-
Publisher
Springer
-
Category
Non-Fiction
-
Genre
-
Amazon Star Rating
4.6
-
Amazon Ratings Count
765 ratings
-
Amazon Last Rating Data Date
September 9, 2021
When you purchase an independently ranked book through our site, we earn an affiliate commission.
Get top-rated books in your inbox
Explore top rated books similar to The Elements of Statistical Learning.
