The Elements of Statistical Learning: Data Mining, Inference, and Prediction, Second Edition (Springer Series in Statistics)
by Trevor Hastie, Robert Tibshirani, Jerome Friedman
A foundational text on statistical learning methods for data mining, inference, and prediction, aimed at researchers and practitioners.
About This Book
This book presents statistical learning techniques for analyzing complex datasets.
It covers methods for data mining, inference, and predictive modeling.
The text is intended for researchers and practitioners in statistics and related fields.
Topics include supervised and unsupervised learning approaches.
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