Information Theory: A Tutorial Introduction

Originally developed by Claude Shannon in the 1940s, information theory laid the foundations for the digital revolution, and is now an essential tool in telecommunications, genetics, linguistics, brain sciences, and deep space communication. In this richly illustrated book, accessible examples are used to introduce information theory in terms of everyday games like ‘20 questions’ before more advanced topics are explored. Online MatLab and Python computer programs provide hands-on experience of information theory in action, and PowerPoint slides give support for teaching. Written in an informal style, with a comprehensive glossary and tutorial appendices, this text is an ideal primer for novices who wish to learn the essential principles and applications of information theory.

• Bayes' Rule: A Tutorial Introduction to Bayesian Analysis
• An Introduction to Information Theory: Symbols, Signals and Noise (Dover Books on Mathematics)
• The Mathematical Theory of Communication
• A Mind at Play: How Claude Shannon Invented the Information Age
• Principles of Neural Information Theory: Computational Neuroscience and Metabolic Efficiency (Tutorial Introductions)
• Artificial Intelligence Engines: A Tutorial Introduction to the Mathematics of Deep Learning
• Elements of Information Theory 2nd Edition (Wiley Series in Telecommunications and Signal Processing)
• Quantum Computing: An Applied Approach
• A Student's Guide to Coding and Information Theory
• Information Theory, Inference and Learning Algorithms