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Machine Learning for Signal Processing : Data Science, Algorithms, and Computational Statistics
Language: English
Published by Oxford University Press, 2024
ISBN 10: 0198896557 ISBN 13: 9780198896555
Condition: As New. Unread book in perfect condition.
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Machine Learning for Signal Processing: Data Science, Algorithms, and Computational Statistics
Language: English
Published by Oxford University Press, 2024
ISBN 10: 0198896557 ISBN 13: 9780198896555
Condition: New.
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Machine Learning for Signal Processing : Data Science, Algorithms, and Computational Statistics
Language: English
Published by Oxford University Press, 2024
ISBN 10: 0198896557 ISBN 13: 9780198896555
Condition: New.
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Machine Learning for Signal Processing
Language: English
Published by Oxford University Press, 2024
ISBN 10: 0198896557 ISBN 13: 9780198896555
PAP. Condition: New. New Book. Shipped from UK. Established seller since 2000.
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Machine Learning for Signal Processing
Language: English
Published by Oxford University Press, 2024
ISBN 10: 0198896557 ISBN 13: 9780198896555
Seller: PBShop.store UK, Fairford, GLOS, United Kingdom
Seller rating 4 out of 5 stars
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MACHINE LEARNING FOR SIGNAL PROCESSING P (eng)
Language: English
Published by Oxford University Press, 2024
ISBN 10: 0198896557 ISBN 13: 9780198896555
Condition: new.
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Machine Learning for Signal Processing: Data Science, Algorithms, and Computational Statistics
Language: English
Published by Oxford University Press, 2024
ISBN 10: 0198896557 ISBN 13: 9780198896555
Condition: New.
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Machine Learning for Signal Processing: Data Science, Algorithms, and Computational Statistics
Language: English
Published by Oxford University Press, 2024
ISBN 10: 0198896557 ISBN 13: 9780198896555
Condition: New.
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Machine Learning for Signal Processing (Paperback)
Language: English
Published by Oxford University Press, Oxford, 2024
ISBN 10: 0198896557 ISBN 13: 9780198896555
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.
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Machine Learning for Signal Processing : Data Science, Algorithms, and Computational Statistics
Language: English
Published by Oxford University Press, 2024
ISBN 10: 0198896557 ISBN 13: 9780198896555
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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Machine Learning for Signal Processing: Data Science, Algorithms, and Computational Statistics
Language: English
Published by Oxford University Press, 2024
ISBN 10: 0198896557 ISBN 13: 9780198896555
Condition: New.
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Machine Learning for Signal Processing: Data Science, Algorithms, and Computational Statistics
Language: English
Published by Oxford University Press, 2024
ISBN 10: 0198896557 ISBN 13: 9780198896555
Seller: Ria Christie Collections, Uxbridge, United Kingdom
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Add to basketPaperback. Condition: Brand New. 384 pages. 9.65x7.48x0.79 inches. In Stock.
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Machine Learning for Signal Processing: Data Science, Algorithms, and Computational Statistics
Language: English
Published by OUP Oxford 2024-02-28, 2024
ISBN 10: 0198896557 ISBN 13: 9780198896555
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Machine Learning For Signal Processing
Language: English
Published by Oxford University Press, USA, 2024
ISBN 10: 0198896557 ISBN 13: 9780198896555
Seller: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Ireland
Seller rating 5 out of 5 stars
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Machine Learning for Signal Processing : Data Science, Algorithms, and Computational Statistics
Language: English
Published by Oxford University Press, 2024
ISBN 10: 0198896557 ISBN 13: 9780198896555
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
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Machine Learning for Signal Processing: Data Science, Algorithms, and Computational Statistics
Language: English
Published by Oxford University Press, 2024
ISBN 10: 0198896557 ISBN 13: 9780198896555
Seller: THE SAINT BOOKSTORE, Southport, United Kingdom
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Machine Learning For Signal Processing
Language: English
Published by Oxford University Press, USA, 2024
ISBN 10: 0198896557 ISBN 13: 9780198896555
Condition: New. 2024. paperback. . . . . . Books ship from the US and Ireland.
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MACHINE LEARNING FOR SIGNAL PROCESSING
Language: English
Published by Oxford University Press, 2024
ISBN 10: 0198896557 ISBN 13: 9780198896555
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Add to basketPaperback. Condition: Brand New. 384 pages. 9.65x7.48x0.79 inches. In Stock.
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Machine Learning for Signal Processing (Paperback)
Language: English
Published by Oxford University Press, Oxford, 2024
ISBN 10: 0198896557 ISBN 13: 9780198896555
US$ 61.78
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Add to basketPaperback. 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 our UK warehouse or from our Australian or US warehouses, depending on stock availability.
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Machine Learning for Signal Processing (Hardcover)
Language: English
Published by Oxford University Press, Oxford, 2019
ISBN 10: 0198714939 ISBN 13: 9780198714934
Hardcover. Condition: new. Hardcover. 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 ofkey 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 conceptsand algorithms in this important topic. 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. 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.
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Machine Learning for Signal Processing: Data Science, Algorithms, and Computational Statistics
Language: English
Published by OUP Oxford 2019-08-13, 2019
ISBN 10: 0198714939 ISBN 13: 9780198714934
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Machine Learning for Signal Processing: Data Science, Algorithms, and Computational Statistics
Language: English
Published by Oxford University Press, 2019
ISBN 10: 0198714939 ISBN 13: 9780198714934
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
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Machine Learning for Signal Processing : Data Science, Algorithms, and Computational Statistics
Language: English
Published by Oxford University Press Mai 2024, 2024
ISBN 10: 0198896557 ISBN 13: 9780198896555
Taschenbuch. Condition: Neu. Neuware - 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.
-
Machine Learning for Signal Processing (Paperback)
Language: English
Published by Oxford University Press, Oxford, 2024
ISBN 10: 0198896557 ISBN 13: 9780198896555
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 our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
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Machine Learning for Signal Processing: Data Science, Algorithms, and Computational Statistics
Seller: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Ireland
Seller rating 5 out of 5 stars
Condition: New. 2019. Hardcover. . . . . .
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MACHINE LEARNING FOR SIGNAL PROCESSING
Language: English
Published by Oxford University Press, 2019
ISBN 10: 0198714939 ISBN 13: 9780198714934
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Add to basketHardcover. Condition: Brand New. 359 pages. 10.00x7.75x1.00 inches. In Stock.
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Machine Learning for Signal Processing: Data Science, Algorithms, and Computational Statistics
Language: English
Published by Oxford University Press, 2019
ISBN 10: 0198714939 ISBN 13: 9780198714934
Seller: THE SAINT BOOKSTORE, Southport, United Kingdom
Seller rating 5 out of 5 stars
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Add to basketHardback. Condition: New. New copy - Usually dispatched within 3 working days.
