Springer Series in Statistics
Trevor Hastie
Robert Tibshirani
Jerome Friedman
Springer Series in Statistics
The Elements of
Statistical Learning
Data Mining, Inference, and Prediction
The Elem
ents of Statistical Learning
During the past decade there has been an explosion in computation and information tech-
nology. With it have come vast amounts of data in a variety of fields such as medicine, biolo-
gy, finance, and marketing. The challenge of understanding these data has led to the devel-
opment of new tools in the field of statistics, and spawned new areas such as data mining,
machine learning, and bioinformatics. Many of these tools have common underpinnings but
are often expressed with different terminology. This book describes the important ideas in
these areas 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 color graphics. It should be a val
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