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Computer Science - Artificial Intelligence | The Elements of Statistical Learning - Data Mining, Inference, and Prediction, Second Edition (Authors and Editors)

The Elements of Statistical Learning

Data Mining, Inference, and Prediction, Second Edition

Hastie, Trevor, Tibshirani, Robert, Friedman, Jerome

2nd ed. 2009, XXII, 745 p. 282 illus.

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Trevor Hastie, Robert Tibshirani, and Jerome Friedman are professors of statistics at Stanford University. They are prominent researchers in this area: Hastie and Tibshirani developed generalized additive models and wrote a popular book of that title. Hastie co-developed much of the statistical modeling software and environment in R/S-PLUS and invented principal curves and surfaces. Tibshirani proposed the lasso and is co-author of the very successful An Introduction to the Bootstrap. Friedman is the co-inventor of many data-mining tools including CART, MARS, projection pursuit and gradient boosting.

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