The Elements of Statistical Learning: Data Mining, Inference, and Prediction, Se-image
The Elements of Statistical Learning: Data Mining, Inference, and Prediction, Se-image
The Elements of Statistical Learning: Data Mining, Inference, and Prediction, Se-image
The Elements of Statistical Learning: Data Mining, Inference, and Prediction, Se-image

The Elements of Statistical Learning: Data Mining, Inference, and Prediction, Se

$ 23.76

Number of Pages: Xxii, 745 Pages ISBN: 9780387848570 Item Weight: 51.2 Oz Publication Name: Elements of Statistical Learning : Data Mining, Inference, and Prediction Publication Year: 2009 Publisher: Springer New York Book Title: The Elements of Statistical Learning: Data Mining, Inference, Subject: Probability & Statistics / General, Intelligence (Ai) & Semantics, Databases / Data Mining Type: Textbook Item Width: 6.5 in Author: Trevor Hastie, Jerome Friedman, Robert Tibshirani, J. H. Friedman Personalized: No Language: English Item Height: 1.5 in Educational Level: Adult & Further Education Subject Area: Mathematics, Computers Format: Hardcover Series: Springer Series in Statistics Ser. gtin13: 9780387848570 Item Length: 9.4 in

Description

"The Elements of Statistical Learning: Data Mining, Inference, and Prediction" is a comprehensive textbook authored by Trevor Hastie, Jerome Friedman, Robert Tibshirani, and J. H. Friedman. Published by Springer New York in 2009, this hardcover book delves into the subjects of probability and statistics, artificial intelligence and semantics, and databases/data mining. With 745 pages, this textbook is designed for adult and further education levels, providing valuable insights into the elements of statistical learning for data analysis and prediction. Listing and template services provided by inkFrog

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