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Fun and exciting textbook on the mathematics underpinning the most dynamic areas of modern science and engineering.
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Information Theory, Inference and Learning Algorithms
Verlag:
Cambridge University Press, 2003
ISBN 10: 0521642981
ISBN 13: 9780521642989
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Anbieter: World of Books (was SecondSale), Montgomery, IL, USA
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Hardback. Zustand: 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. Artikel-Nr. CIN0521642981A
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Information Theory, Inference and Learning Algorithms
Verlag:
Cambridge University Press, 2003
ISBN 10: 0521642981
ISBN 13: 9780521642989
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Hardcover
Anbieter: Books From California, Simi Valley, CA, USA
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Hardcover. Zustand: Very Good. Artikel-Nr. mon0004296404
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Information Theory, Inference and Learning Algorithms
Verlag:
Cambridge University Press, 2003
ISBN 10: 0521642981
ISBN 13: 9780521642989
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Hardcover
Anbieter: Anybook.com, Lincoln, Vereinigtes Königreich
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Zustand: 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. Artikel-Nr. 2949701
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Information Theory, Inference and Learning Algorithms
Verlag:
Cambridge University Press, GB, 2003
ISBN 10: 0521642981
ISBN 13: 9780521642989
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Hardcover
Anbieter: Rarewaves USA, HEBRON, KY, USA
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Hardback. Zustand: New. 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. Artikel-Nr. LU-9780521642989
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Information Theory, Inference and Learning Algorithms
Anbieter: GreatBookPricesUK, Woodford Green, Vereinigtes Königreich
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Zustand: New. Artikel-Nr. 1752094-n
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Information Theory, Inference and Learning Algorithms
Verlag:
Cambridge University Press, 2003
ISBN 10: 0521642981
ISBN 13: 9780521642989
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Softcover
Anbieter: GreatBookPricesUK, Woodford Green, Vereinigtes Königreich
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Zustand: As New. Unread book in perfect condition. Artikel-Nr. 1752094
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Information Theory, Inference and Learning Algorithms
Anbieter: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Irland
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Zustand: New. 2003. Sixth Printing 2007. Hardcover. Fun and exciting textbook on the mathematics underpinning the most dynamic areas of modern science and engineering. Num Pages: 640 pages, 1 colour illus. 40 tables 390 exercises. BIC Classification: PH; TJ; UM; UY. Category: (P) Professional & Vocational; (U) Tertiary Education (US: College). Dimension: 251 x 192 x 35. Weight in Grams: 1500. 640 pages, 1 colour illus. 40 tables 390 exercises. Fun and exciting textbook on the mathematics underpinning the most dynamic areas of modern science and engineering. Cateogry: (P) Professional & Vocational; (U) Tertiary Education (US: College). BIC Classification: PH; TJ; UM; UY. Dimension: 251 x 192 x 35. Weight: 1494. . . . . . Artikel-Nr. V9780521642989
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Information Theory, Inference and Learning Algorithms
Anbieter: BennettBooksLtd, Los Angeles, CA, USA
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hardcover. Zustand: New. In shrink wrap. Looks like an interesting title! Artikel-Nr. Q-0521642981
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Information Theory, Inference and Learning Algorithms
Verlag:
Cambridge University Press, GB, 2003
ISBN 10: 0521642981
ISBN 13: 9780521642989
Neu
Hardcover
Anbieter: Rarewaves.com USA, London, LONDO, Vereinigtes Königreich
Verkäuferbewertung 5 von 5 Sternen
Hardback. Zustand: New. 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. Artikel-Nr. LU-9780521642989
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EUR 120,04
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Information Theory, Inference and Learning Algorithms
Anbieter: Kennys Bookstore, Olney, MD, USA
Verkäuferbewertung 5 von 5 Sternen
Zustand: New. 2003. Sixth Printing 2007. Hardcover. Fun and exciting textbook on the mathematics underpinning the most dynamic areas of modern science and engineering. Num Pages: 640 pages, 1 colour illus. 40 tables 390 exercises. BIC Classification: PH; TJ; UM; UY. Category: (P) Professional & Vocational; (U) Tertiary Education (US: College). Dimension: 251 x 192 x 35. Weight in Grams: 1500. 640 pages, 1 colour illus. 40 tables 390 exercises. Fun and exciting textbook on the mathematics underpinning the most dynamic areas of modern science and engineering. Cateogry: (P) Professional & Vocational; (U) Tertiary Education (US: College). BIC Classification: PH; TJ; UM; UY. Dimension: 251 x 192 x 35. Weight: 1494. . . . . . Books ship from the US and Ireland. Artikel-Nr. V9780521642989
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