Information Theory, Inference and Learning Algorithms

MacKay, David J. C.

ISBN 10: 0521642981 / ISBN 13: 9780521642989

Published by Cambridge University Press, 2003

Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority! Seller Inventory # S_360384669

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.

Bibliographic Details

Title: Information Theory, Inference and Learning ...
Publisher: Cambridge University Press
Publication Date: 2003
Binding: Hardcover
Condition: Good