Description: This major new edition features many topics not covered in the original, including graphical models, random forests, and ensemble methods. As before, it covers the conceptual framework for statistical data in our rapidly expanding computerized world.
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Subject Area: Mathematics, Computers
Publication Name: The Elements of Statistical Learning (Springer Series in Statisti
Publisher: Springer New York
Item Length: 9.4 in
Subject: Probability & Statistics / General, Intelligence (Ai) & Semantics, Databases / Data Mining
Publication Year: 2009
Series: Springer Series in Statistics Ser.
Type: Textbook
Format: Hardcover
Language: English
Item Height: 1.5 in
Author: Trevor Hastie, Jerome Friedman, Robert Tibshirani, J. H. Friedman
Item Weight: 51.2 Oz
Item Width: 6.5 in
