The Elements Of Statistical Learning: Data Mini... -

The central thesis of ESL is that most learning methods—whether they originate in AI or statistics—share common conceptual underpinnings. The book organizes these methods into two primary categories: The Elements of Statistical Learning - Springer Nature

Abstract

The explosion of data across medicine, biology, and finance has necessitated new tools for extraction and interpretation. ESL was introduced in 2001 to bridge the gap between traditional statistical modeling and the burgeoning field of data mining. Unlike its later, less technical counterpart An Introduction to Statistical Learning (ISL), ESL is designed for an advanced audience, focusing on the mathematical underpinnings and intuitions of core algorithms. The Elements of Statistical Learning: Data Mini...