£157.59

Springer - The Nature of Statistical Learning Theory Book

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£158 today · usual range £145–£165 · best ever £145

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£164.96 £142.89 £147.71 £152.52 £157.34 £162.15 £166.97 10 June 2026 02 July 2026 25 July 2026 16 August 2026 08 September 2026

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Description

Explore the core principles of statistical learning and generalization with this academic text from Springer. Part of the Information Science and Statistics series, this book provides a clear look at the fundamental ideas that drive modern learning theories. Designed for a technical audience, the content is written in a concise and readable style. It focuses on key learning problems to help readers build a strong theoretical foundation. This resource is an essential addition to the libraries of statisticians, mathematicians, physicists, and computer scientists looking to deepen their understanding of the mathematical frameworks used in learning science.

Key Features

Covers fundamental ideas behind statistical learning theory and the mechanics of generalization.

Written in a concise and readable style to make complex theoretical concepts accessible.

Focuses on key learning problems essential for advanced study in information science.

Designed for professional use by mathematicians, physicists, and computer scientists.

Part of the respected Springer Information Science and Statistics series.

Product Specifications

Format
paperback
Domain
Amazon UK
Release Date
01 December 2010
Listed Since
06 July 2010

Barcode

No barcode data available

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