The Elements of Statistical Learning: Data Mining, Inference, and Prediction. Second Edition February 2009

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 …

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 …

May 18, 2025 · Describes important statistical ideas in machine learning, data mining, and bioinformatics. Covers a broad range, from supervised learning (prediction), to unsupervised …

The Elements of Statistical Learning Data Mining, Inference, and Prediction Contents Preface vii

The Elements of Statistical Learning Data Mining Inference and Prediction 2nd Edition Trevor Hastie - Free download as PDF File (.pdf), Text File (.txt) or read online for free. The Elements of Statistical …

Aug 26, 2009 · The challenge of understanding these data has led to the development of new tools in the field of statistics, and spawned new areas such as data mining, machine learning, and …

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 …

MLA citation style: Hastie, Trevor, Robert Tibshirani, and J. H Friedman. The Elements of Statistical Learning: Data Mining, Inference, and Prediction. New York, NY: Springer, 2009.

The challenge of understanding these data has led to the development of new tools in the field of statistics, and spawned new areas such as data mining, machine learning, and bioinformatics....