Information Theory, Inference, and Learning Algorithms

MacKay, David J. C.

ISBN 10: 0521642981 / ISBN 13: 9780521642989

Published by Cambridge University Press, 2019

About this Item

Glossy light blue covers are clean with straight edges and pointed corners. Spine is uncreased with a lightly bumped head. Text block is square. Binding is tight. 628p. Interior is unmarked with crisp white pages through out.

Seller Inventory # 110548

Bibliographic Details

• Title: Information Theory, Inference, and Learning Algorithms
• Publisher: Cambridge University Press
• Publication Date: 2019
• Language: English
• ISBN 10: 0521642981
• ISBN 13: 9780521642989
• Binding: Softcover. 4to
• Edition: 22nd printing.
• Condition: Very Good.
• Seller catalogs:
  • COMPUTERS
  • ENGINEERING

About this title

Synopsis

Fun and exciting textbook on the mathematics underpinning the most dynamic areas of modern science and engineering.

From the Inside Flap

An instant classic, covering everything from Shannon's fundamental theorems to the postmodern theory of LDPC codes. You'll want two copies of this astonishing book, one for the office and one for the fireside at home. - Bob McEliece, California Institute of Technology

This is an extraordinary and important book, generous with insight and rich with detail in statistics, information theory, and probabilistic modeling across a wide swathe of standard, creatively original, and delightfully quirky topics. David MacKay is an uncompromisingly lucid thinker, from whom students, faculty and practitioners all can learn.
-
Zoubin Ghahramani and Peter Dayan
Gatsby Computational Neuroscience Unit, University College London.

An utterly original book that shows the connections between such disparate fields as information theory and coding, inference, and statistical physics.
Dave Forney, M.I.T.