Information Theory, Inference and Learning Algorithms
A textbook on information, communication, and coding for a new generation of students, and an entry point into these subjects for professionals in areas as diverse as computational biology, financial engineering, and machine learning.
Tag(s): Information Theory
Publication date: 01 Mar 2005
ISBN-10: 0521642981
ISBN-13: n/a
Paperback: 550 pages
Views: 26,751
Information Theory, Inference and Learning Algorithms
David J. C. MacKay wrote:Now the book is published, these files will remain viewable on this website. The same copyright rules will apply to the online copy of the book as apply to normal books. [e.g., copying the whole book onto paper is not permitted.]
About The Author(s)
David J. C. MacKay is Regius Professor of Engineering at Cambridge University Engineering Department. He works on Bayesian probability theory and its application to inference problems.
David J. C. MacKay is Regius Professor of Engineering at Cambridge University Engineering Department. He works on Bayesian probability theory and its application to inference problems.