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Inhaltsangabe
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 mining, financial engineering and machine learning.
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Über die Autorin bzw. den Autor
Charlotte y Peter Fiell son dos autoridades en historia, teoría y crítica del diseño y han escrito más de sesenta libros sobre la materia, muchos de los cuales se han convertido en éxitos de ventas. También han impartido conferencias y cursos como profesores invitados, han comisariado exposiciones y asesorado a fabricantes, museos, salas de subastas y grandes coleccionistas privados de todo el mundo. Los Fiell han escrito numerosos libros para TASCHEN, entre los que se incluyen 1000 Chairs, Diseño del siglo XX, El diseño industrial de la A a la Z, Scandinavian Design y Diseño del siglo XXI.
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Information Theory, Inference, and Learning Algorithms
Verlag:
Cambridge University Press, 2019
ISBN 10: 0521642981
ISBN 13: 9780521642989
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Softcover. 4to
Anbieter: Chamblin Bookmine, Jacksonville, FL, USA
Verkäuferbewertung 5 von 5 Sternen
Softcover. 4to. Zustand: Very Good. 22nd printing. 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. Bestandsnummer des Verkäufers 110548
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Information Theory Inference And Learning Algorithms
Internationale AusgabeAnbieter: Basi6 International, Irving, TX, USA
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Zustand: Brand New. New.SoftCover International edition. Different ISBN and Cover image but contents are same as US edition. Expediting shipping for all USA and Europe orders excluding PO Box. Excellent Customer Service. Bestandsnummer des Verkäufers ABEJUNE24-105172
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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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paperback
Anbieter: Bookmans, Tucson, AZ, USA
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paperback. Zustand: Good. Satisfaction 100% guaranteed. Bestandsnummer des Verkäufers mon0002700190
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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: Goodwill Books, Hillsboro, OR, USA
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Information Theory, Inference and Learning Algorithms
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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: GreatBookPrices, Columbia, MD, USA
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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 (Hardcover)
Verlag:
Cambridge University Press, Cambridge, 2003
ISBN 10: 0521642981
ISBN 13: 9780521642989
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Hardcover
Anbieter: Grand Eagle Retail, Mason, OH, USA
Verkäuferbewertung 5 von 5 Sternen
Hardcover. Zustand: new. Hardcover. 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. 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. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Bestandsnummer des Verkäufers 9780521642989
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