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Information Theory, Inference and Learning Algorithms
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Information Theory, Inference and Learning Algorithms Hardcover - 2003

by David J. MacKay


From the publisher

Information theory and inference, often taught separately, are here united in one entertaining textbook. These topics lie at the heart of many exciting areas of contemporary science and engineering - communication, signal processing, data mining, machine learning, pattern recognition, computational neuroscience, bioinformatics, and cryptography. This textbook introduces theory in tandem with applications. Information theory is taught alongside practical communication systems, such as arithmetic coding for data compression and sparse-graph codes for error-correction. A toolbox of inference techniques, including message-passing algorithms, Monte Carlo methods, and variational approximations, are developed alongside applications of these tools to clustering, convolutional codes, independent component analysis, and neural networks. The final part of the book describes the state of the art in error-correcting codes, including low-density parity-check codes, turbo codes, and digital fountain codes -- the twenty-first century standards for satellite communications, disk drives, and data broadcast. Richly illustrated, filled with worked examples and over 400 exercises, some with detailed solutions, David MacKay's groundbreaking book is ideal for self-learning and for undergraduate or graduate courses. Interludes on crosswords, evolution, and sex provide entertainment along the way. In sum, this is a textbook on information, communication, and coding for a new generation of students, and an unparalleled entry point into these subjects for professionals in areas as diverse as computational biology, financial engineering, and machine learning.

First line

In this chapter we discuss how to measure the information content of the outcome of a random experiment.

Details

  • Title Information Theory, Inference and Learning Algorithms
  • Author David J. MacKay
  • Binding Hardcover
  • Edition INTERNATIONAL ED
  • Pages 640
  • Volumes 1
  • Language ENG
  • Publisher Cambridge University Press, New York, NY
  • Date 2003-09-25
  • ISBN 9780521642989 / 0521642981
  • Weight 3.45 lbs (1.56 kg)
  • Dimensions 9.8 x 7.8 x 1.5 in (24.89 x 19.81 x 3.81 cm)
  • Library of Congress subjects Information theory
  • Library of Congress Catalog Number 2003055133
  • Dewey Decimal Code 003.54

Media reviews

Citations

  • Choice, 06/01/2004, Page 1915
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INFORMATION THEORY INFERENCE AND LEARNING ALGORITHMS

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Information Theory, Inference, and Learning Algorithms
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Information Theory, Inference, and Learning Algorithms

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Cambridge University Press, 2013. This is an ex-library book and may have the usual library/used-book markings inside.This book has hardback covers. Clean from markings. In poor condition, suitable as a reading copy. No dust jacket. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,1500grams, ISBN:9780521642989
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Information Theory, Inference and Learning Algorithms
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Information Theory, Inference and Learning Algorithms

by David J. C. MacKay

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Information Theory, Inference and Learning Algorithms
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Information Theory, Inference and Learning Algorithms

by David J. C. MacKay

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Information Theory, Inference and Learning Algorithms

Information Theory, Inference and Learning Algorithms

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Hardback. New. New Book; Fast Shipping from UK; Not signed; Not First Edition; This exciting and entertaining textbook is ideal for courses in information, communication and coding. It is an unparalleled entry point to these subjects for professionals working in areas as diverse as computational biology, data mini
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Information Theory, Inference and Learning Algorithms
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Information Theory, Inference and Learning Algorithms

by David J. C. MacKay

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9780521642989
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Information Theory, Inference and Learning Algorithms
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Information Theory, Inference and Learning Algorithms

by MacKay, David J. C

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Information Theory, Inference and Learning Algorithms
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Information Theory, Inference and Learning Algorithms

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Information Theory, Inference and Learning Algorithms
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Information Theory, Inference and Learning Algorithms

by MacKay, David J. C

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9780521642989
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