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Published by Oxford University Press, 2024
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Add to basketPaperback. Condition: Brand New. 384 pages. 9.65x7.48x0.79 inches. In Stock.
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Published by Oxford University Press, 2024
ISBN 10: 0198896557 ISBN 13: 9780198896555
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Published by Oxford University Press, 2024
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Published by OXFORD UNIVERSITY PRESS, 2024
ISBN 10: 0198896557 ISBN 13: 9780198896555
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Published by Oxford University Press Mai 2024, 2024
ISBN 10: 0198896557 ISBN 13: 9780198896555
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Taschenbuch. Condition: Neu. Neuware - 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) is one 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 relative newcomer 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.DSP and 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 key topics 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 and algorithms in this important topic.
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Add to basketHardcover. Condition: Brand New. 359 pages. 10.00x7.75x1.00 inches. In Stock.
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Published by LAP LAMBERT Academic Publishing, 2020
ISBN 10: 6200498903 ISBN 13: 9786200498908
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Taschenbuch. Condition: Neu. Signal Classification | Comparison of Different Feature Extraction and Machine Learning Algorithms for EMG Signal Classification | Emine Yaman | Taschenbuch | 168 S. | Englisch | 2020 | LAP LAMBERT Academic Publishing | EAN 9786200498908 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu.
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