£52.08

Cambridge University Press Cambridge Information Theory, Inference and Learning Algorithms

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£57.00 £48.67 £50.49 £52.31 £54.12 £55.94 £57.76 08 July 2026 19 July 2026 30 July 2026 10 August 2026 21 August 2026

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Description

Explore the fundamentals of modern technology with this textbook from Cambridge University Press. This book teaches information theory and inference together, providing a foundation for vital fields such as machine learning, signal processing, data mining, and pattern recognition. By combining theory with practical applications, readers can see how these concepts work in real-world systems. The text covers essential topics including arithmetic coding for data compression and sparse-graph codes for error-correction. It also explores advanced inference techniques such as Monte Carlo methods, message-passing algorithms, and variational methods. This resource is designed for those studying communication, computational neuroscience, bioinformatics, and cryptography.

Key Features

Cambridge University Press provides this comprehensive textbook covering information theory and inference.

The content connects theory to practical communication systems like arithmetic coding and sparse-graph codes.

Learn advanced inference techniques including Monte Carlo methods and message-passing algorithms.

This book supports study in machine learning, data mining, and pattern recognition.

Applications include computational neuroscience, bioinformatics, and cryptography.

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