The Elements of Statistical Learning: Data Mining, Inference, and Prediction, Second Edition (Springer Series in Statistics)
by Trevor Hastie, Robert Tibshirani, Jerome Friedman
The Elements of Statistical Learning presents a detailed treatment of statistical learning, data mining, inference, and prediction. Written by Trevor Hastie, Robert Tibshirani, and Jerome Friedman, this second edition belongs to the Springer Series in Statistics and serves as a rigorous reference for the field.
About This Book
The Elements of Statistical Learning focuses on statistical learning and its applications to data mining, inference, and prediction.
Authored by Trevor Hastie, Robert Tibshirani, and Jerome Friedman, this volume presents a mathematically grounded treatment of the subject.
Published as part of the Springer Series in Statistics, it is designed as a substantial reference for studying modern statistical methods.
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