The Elements of Statistical Learning : Data Mining, Inference, and Prediction
Hastie, Trevor, Tibshirani, Robert, Friedman, Jerome
ISBN 10: 0387952845 ISBN 13: 9780387952840
Published by Springer, 2003
Used
Hardcover
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About this Item
Description:
Ships from the UK. Former library book; may include library markings. Used book that is in excellent condition. May show signs of wear or have minor defects. Seller Inventory # GRP65459631
Synopsis:
2003 edition
About the Author:
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.
"About this title" may belong to another edition of this title.
Bibliographic Details
Title: The Elements of Statistical Learning : Data ...
Publisher: Springer
Publication Date: 2003
Binding: Hardcover
Condition: Very Good
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The Elements of Statistical Learning: Data Mining, Inference, and Prediction (Springer Series in Statistics)
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ISBN 10: 0387952845
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