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Published by Oxford University Press, 2024
ISBN 10: 0198896557 ISBN 13: 9780198896555
Language: English
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Published by CRC Press 2021-06-30, 2021
ISBN 10: 1032084197 ISBN 13: 9781032084190
Language: English
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Hardback or Cased Book. Condition: New. Application and Theory of Multimedia Signal Processing Using Machine Learning or Advanced Methods. Book.
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Published by Oxford University Press, 2024
ISBN 10: 0198896557 ISBN 13: 9780198896555
Language: English
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Published by Oxford University Press, 2024
ISBN 10: 0198896557 ISBN 13: 9780198896555
Language: English
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Published by Oxford University Press, 2024
ISBN 10: 0198896557 ISBN 13: 9780198896555
Language: English
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Published by Cambridge University Press (edition 1), 2024
ISBN 10: 1009418149 ISBN 13: 9781009418140
Language: English
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Condition: Good. Your purchase helps support Sri Lankan Children's Charity 'The Rainbow Centre'. Ex-library, so some stamps and wear, but in good overall condition. Our donations to The Rainbow Centre have helped provide an education and a safe haven to hundreds of children who live in appalling conditions.
Published by Oxford University Press, 2024
ISBN 10: 0198896557 ISBN 13: 9780198896555
Language: English
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Published by Oxford University Press, 2024
ISBN 10: 0198896557 ISBN 13: 9780198896555
Language: English
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Published by Oxford University Press, 2024
ISBN 10: 0198896557 ISBN 13: 9780198896555
Language: English
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Published by Oxford University Press, Oxford, 2024
ISBN 10: 0198896557 ISBN 13: 9780198896555
Language: English
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Paperback. Condition: new. Paperback. This book describes in detail the fundamental mathematics and algorithms of machine learning (an example of artificial intelligence) and signal processing, two of the most important and exciting technologies in the modern information economy. Taking a gradual approach, it builds up concepts in a solid, step-by-step fashion so that the ideas and algorithms can be implemented in practical software applications.Digital signal processing (DSP) isone of the 'foundational' engineering topics of the modern world, without which technologies such the mobile phone, television, CD and MP3 players, WiFi and radar, would not be possible. A relativenewcomer by comparison, statistical machine learning is the theoretical backbone of exciting technologies such as automatic techniques for car registration plate recognition, speech recognition, stock market prediction, defect detection on assembly lines, robot guidance, and autonomous car navigation. Statistical machine learning exploits the analogy between intelligent information processing in biological brains and sophisticated statistical modelling and inference.DSPand statistical machine learning are of such wide importance to the knowledge economy that both have undergone rapid changes and seen radical improvements in scope and applicability. Both make use of keytopics in applied mathematics such as probability and statistics, algebra, calculus, graphs and networks. Intimate formal links between the two subjects exist and because of this many overlaps exist between the two subjects that can be exploited to produce new DSP tools of surprising utility, highly suited to the contemporary world of pervasive digital sensors and high-powered, yet cheap, computing hardware. This book gives a solid mathematical foundation to, and details the key concepts andalgorithms in this important topic. Describes the fundamental mathematics and algorithms of machine learning (an example of artificial intelligence) and signal processing, two of the most important and exciting technologies in the modern information economy. Builds up concepts gradually so that the ideas and algorithms can be implemented in practical software applications. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Published by Chapman and Hall/CRC, 2024
ISBN 10: 0367618923 ISBN 13: 9780367618926
Language: English
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Seller: Revaluation Books, Exeter, United Kingdom
Paperback. Condition: Brand New. 384 pages. 9.65x7.48x0.79 inches. In Stock.
Published by Oxford University Press, 2024
ISBN 10: 0198896557 ISBN 13: 9780198896555
Language: English
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Published by Oxford University Press, 2024
ISBN 10: 0198896557 ISBN 13: 9780198896555
Language: English
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Condition: New. In.