Springer Series in Statistics Ser.: Elements of Statistical Learning : Data...
$ 21.07
Description
Springer Series in Statistics Ser.: Elements of Statistical Learning : Data.... The "Elements of Statistical Learning: Data Mining, Inference, and Prediction" is a comprehensive textbook published by Springer New York in 2009. Authored by Trevor Hastie, Jerome Friedman, Robert Tibshirani, and J. H. Friedman, this book covers a range of subjects including probability, statistics, and data mining. With a focus on practical applications, the book offers insights into statistical learning techniques and their use in predicting and modeling real-world data. The hardcover format makes it a durable reference for students and professionals alike, providing a detailed exploration of the mathematics behind modern data analysis. The "Elements of Statistical Learning: Data Mining, Inference, and Prediction" is a comprehensive textbook published by Springer New York in 2009. Authored by Trevor Hastie, Jerome Friedman, Robert Tibshirani, and J. H. Friedman, this book covers a range of subjects including probability, statistics, and data mining. With a focus on practical applications, the book offers insights into statistical learning techniques and their use in predicting and modeling real-world data. The hardcover format makes it a durable reference for students and professionals alike, providing a detailed exploration of the mathematics behind modern data analysis.
