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

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

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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