The elements of statistical learning
Subtitle: data mining, inference, and prediction : with 200 full-color illustrations
By: Trevor Hastie, Robert Tibshirani, Jerome Friedman.
Contributors: Tibshirani, Robert.; Friedman, J. H.
Series: Springer series in statistics
Publisher: Springer
Published: 2001
Place of publication: New York
Language: eng
Number of pages: 533
Subjects: Supervised learning (Machine learning)
Description: Describes important statistical ideas in machine learning, data mining, and bioinformatics. Covers a broad range, from supervised learning (prediction), to unsupervised learning, including classification trees, neural networks, and support vector machines.
Notes: Includes bibliographical references (p. [509]-522) and indexes.