Information Theory
A Tutorial Introduction to the Principles and Applications of Information Theory
Published on 3. February 2025
294 pages
978-1-83702-684-5 (ISBN)
Description
No detailed description available for "Information Theory".
More details
Edition
Digital original
Language
English
Place of publication
Birmingham
United Kingdom
Target group
Professional and scholarly
US School Grade: College Graduate Student
Edition type
Digital original
File size
15,37 MB
ISBN-13
978-1-83702-684-5 (9781837026845)
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Schweitzer Classification
Person
Stone James V :
James V Stone is a distinguished academic and author specializing in computational neuroscience, artificial intelligence, and information theory. He earned a BSc in Psychology and Pharmacology from Manchester University, an MSc in Knowledge-Based Systems, and a DPhil in Computer Vision from Sussex University. A former Wellcome Mathematical Biology Research Fellow and Associate Professor at the University of Sheffield, James has investigated topics like brain evolution, quantum mechanics, and the Baldwin effect. Since 2017, he has focused on making complex scientific ideas accessible through compelling writing.
James V Stone is a distinguished academic and author specializing in computational neuroscience, artificial intelligence, and information theory. He earned a BSc in Psychology and Pharmacology from Manchester University, an MSc in Knowledge-Based Systems, and a DPhil in Computer Vision from Sussex University. A former Wellcome Mathematical Biology Research Fellow and Associate Professor at the University of Sheffield, James has investigated topics like brain evolution, quantum mechanics, and the Baldwin effect. Since 2017, he has focused on making complex scientific ideas accessible through compelling writing.
