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"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 2nd edition covers a wide range of topics in probability, statistics, data mining, and artificial intelligence. With 745 pages, this hardcover book delves into the concepts of statistical learning and their applications in various fields such as databases and semantic analysis. The authors provide detailed explanations and insights into the techniques used for data mining, inference, and prediction, making it a valuable resource for students and professionals alike."
When you click on links to various merchants on this site and make a purchase, this can result in this site earning a commission. Affiliate programs and affiliations include, but are not limited to, the eBay Partner Network.