Picture 1 of 4

The Elements of Statistical Learning: Data Mining, Inference, and Prediction, Second Edition by Robert Tibshirani, Trevor Hastie, Jerome Friedman (Hardcover, 2017)

daily-deals67 (0)

Price:

AU $40.03

+ $11.44 postage

Estimated delivery Fri, 8 Aug - Tue, 16 Sep

Returns:

60-day returns. Seller pays for return postage.

Condition:

Brand new

In case of any problems after receiving the item. While we work to ensure that product information is correct, on occasion manufacturers may alter their ingredient lists. As per the item weight and country location.

About this product

Product Information

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.