£127.64

Wiley Pattern Classification - Wiley Classic Machine Learning Reference

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£127.66 £41.64 £60.41 £79.18 £97.94 £116.71 £135.48 08 July 2026 30 July 2026 21 August 2026 12 September 2026 05 October 2026

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Description

Pattern Classification by Wiley is a seminal reference that has guided researchers and practitioners since its 1973 first edition. The second edition expands on this foundation with comprehensive coverage of neural networks, statistical pattern recognition, machine learning theory, and invariance theory. This edition features worked examples that illustrate key concepts, detailed comparisons between different classification methods, and extensive graphics to clarify complex algorithms. The book includes expanded exercises and computer project topics designed for hands-on learning, making it ideal for students, academics, and professionals developing expertise in machine learning and pattern recognition. Whether you are studying foundational theory or implementing advanced techniques, this Wiley-Interscience publication provides the rigorous mathematical framework and practical guidance needed to master pattern classification.

Key Features

Pattern Classification covers neural networks and statistical pattern recognition alongside classical methods for comprehensive classification knowledge.

Worked examples throughout the Wiley second edition demonstrate theory in practice with real-world applications and step-by-step solutions.

Extensive graphics and visual explanations help clarify complex algorithms and make mathematical concepts more accessible.

Expanded exercises and computer project topics enable practical implementation and deeper understanding of pattern classification techniques.

The book presents comparisons between different classification methods, helping readers choose appropriate approaches for specific problems.

Product Specifications

Brand
Wiley
Format
hardcover
Domain
Amazon UK
Release Date
21 November 2000
Listed Since
09 February 2007

Barcode

No barcode data available

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