Items related to Information Theory, Inference and Learning Algorithms
Synopsis
Fun and exciting textbook on the mathematics underpinning the most dynamic areas of modern science and engineering.
"synopsis" may belong to another edition of this title.
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.
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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.
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Information Theory, Inference and Learning Algorithms [Paperback] MacKay, David J. C.
Seller: The Book Mongers, Tacoma, WA, U.S.A.
Seller rating 4 out of 5 stars
paperback. Condition: Good. Congratulations! Your purchase will help save books from the landfill. All pages and cover are intact. Spine may show signs of shelf wear. Pages may include limited notes and highlighting. May include "from the library" of labels. Shrink wrap, dust covers, or boxed set case may be missing. Item may be missing bundled media. Seller Inventory # 09-11-26_MG_137K_H0000NTN
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Information Theory, Inference and Learning Algorithms
Published by
Cambridge University Press, 2003
ISBN 10: 0521642981
ISBN 13: 9780521642989
Used
Hardcover
Seller: World of Books (was SecondSale), Montgomery, IL, U.S.A.
Seller rating 5 out of 5 stars
Hardback. Condition: Fair. Information theory and inference, taught together in this exciting textbook, lie at the heart of many important areas of modern technology - communication, signal processing, data mining, machine learning, pattern recognition, computational neuroscience, bioinformatics and cryptography. The book 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. Inference techniques, including message-passing algorithms, Monte Carlo methods and variational approximations, are developed alongside applications to clustering, convolutional codes, independent component analysis, and neural networks. Uniquely, the book covers state-of-the-art 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, the book is ideal for self-learning, and for undergraduate or graduate courses. It also provides an unparalleled entry point for professionals in areas as diverse as computational biology, financial engineering and machine learning. Seller Inventory # CIN0521642981A
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Information Theory, Inference and Learning Algorithms
Published by
Cambridge University Press, 2003
ISBN 10: 0521642981
ISBN 13: 9780521642989
Used
Hardcover
Seller: Books From California, Simi Valley, CA, U.S.A.
Seller rating 4 out of 5 stars
Hardcover. Condition: Very Good. Seller Inventory # mon0004296404
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Information Theory, Inference and Learning Algorithms
Published by
Cambridge University Press, 2003
ISBN 10: 0521642981
ISBN 13: 9780521642989
Used
Hardcover
Seller: World of Books Inc, Montgomery, IL, U.S.A.
Seller rating 4 out of 5 stars
Hardback. Condition: Fair. Information theory and inference, taught together in this exciting textbook, lie at the heart of many important areas of modern technology - communication, signal processing, data mining, machine learning, pattern recognition, computational neuroscience, bioinformatics and cryptography. The book 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. Inference techniques, including message-passing algorithms, Monte Carlo methods and variational approximations, are developed alongside applications to clustering, convolutional codes, independent component analysis, and neural networks. Uniquely, the book covers state-of-the-art 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, the book is ideal for self-learning, and for undergraduate or graduate courses. It also provides an unparalleled entry point for professionals in areas as diverse as computational biology, financial engineering and machine learning. Seller Inventory # CIN0521642981A
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Information Theory, Inference and Learning Algorithms
Published by
Cambridge University Press, 2003
ISBN 10: 0521642981
ISBN 13: 9780521642989
Used
paperback
Seller: CampusBear, Coppell, TX, U.S.A.
Seller rating 5 out of 5 stars
paperback. Condition: Very Good. Complete and clean. All pages present and readable, binding intact. Highlighting or writing is absent or limited to a handful of pages. No water damage. Cover and spine may show light shelf wear, edge bumping, or minor creasing. May have a remainder mark, stickers or sticker residue, or a previous owner's name. Access codes, CDs, DVDs, and other bundled supplements may not be included and should be assumed used or missing unless the listing explicitly states otherwise. Seller Inventory # K3246C04296U
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Information Theory, Inference and Learning Algorithms
Published by
Cambridge University Press, 2003
ISBN 10: 0521642981
ISBN 13: 9780521642989
Used
Hardcover
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Seller rating 5 out of 5 stars
Hardcover. Condition: Acceptable. Connecting readers with great books since 1972. Used textbooks may not include companion materials such as access codes, etc. May have condition issues including wear and notes/highlighting. We ship orders daily and Customer Service is our top priority! Seller Inventory # S_486818371
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Information Theory, Inference and Learning Algorithms
Published by
Cambridge University Press, 2003
ISBN 10: 0521642981
ISBN 13: 9780521642989
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paperback
Seller: BookResQ., West Valley City, UT, U.S.A.
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paperback. Condition: Good. Ex-library book with typical stickers and stampings. Priority Mail is available on this item. No international shipping. Seller Inventory # A150426ahmug1746947
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Information Theory, Inference and Learning Algorithms
Published by
Cambridge University Press, 2003
ISBN 10: 0521642981
ISBN 13: 9780521642989
Used
Hardcover
Seller: Anybook.com, Lincoln, United Kingdom
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Condition: Good. This is an ex-library book and may have the usual library/used-book markings inside.This book has hardback covers. In good all round condition. No dust jacket. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,1600grams, ISBN:9780521642989. Seller Inventory # 2949701
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Information Theory, Inference and Learning Algorithms
Published by
Cambridge University Press, 2003
ISBN 10: 0521642981
ISBN 13: 9780521642989
Used
Softcover
Seller: GreatBookPrices, Columbia, MD, U.S.A.
Seller rating 5 out of 5 stars
Condition: As New. Unread book in perfect condition. Seller Inventory # 1752094
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Information Theory, Inference and Learning Algorithms
Published by
Cambridge University Press, 2003
ISBN 10: 0521642981
ISBN 13: 9780521642989
New
Softcover
Seller: GreatBookPrices, Columbia, MD, U.S.A.
Seller rating 5 out of 5 stars
Condition: New. Seller Inventory # 1752094-n