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Explainable Machine Learning Models and Architectures (Hardcover)
Language: English
Published by John Wiley & Sons Inc, New York, 2023
ISBN 10: 1394185847 ISBN 13: 9781394185849
Hardcover. Condition: new. Hardcover. EXPLAINABLE MACHINE LEARNING MODELS AND ARCHITECTURES This cutting-edge new volume covers the hardware architecture implementation, the software implementation approach, and the efficient hardware of machine learning applications. Machine learning and deep learning modules are now an integral part of many smart and automated systems where signal processing is performed at different levels. Signal processing in the form of text, images, or video needs large data computational operations at the desired data rate and accuracy. Large data requires more use of integrated circuit (IC) area with embedded bulk memories that further lead to more IC area. Trade-offs between power consumption, delay and IC area are always a concern of designers and researchers. New hardware architectures and accelerators are needed to explore and experiment with efficient machine-learning models. Many real-time applications like the processing of biomedical data in healthcare, smart transportation, satellite image analysis, and IoT-enabled systems have a lot of scope for improvements in terms of accuracy, speed, computational powers, and overall power consumption. This book deals with the efficient machine and deep learning models that support high-speed processors with reconfigurable architectures like graphic processing units (GPUs) and field programmable gate arrays (FPGAs), or any hybrid system. Whether for the veteran engineer or scientist working in the field or laboratory, or the student or academic, this is a must-have for any library. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Paperback. Condition: Brand New. 400 pages. 9.25x7.50x1.26 inches. In Stock.
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Explainable Machine Learning Models and Architectures
Seller: PBShop.store UK, Fairford, GLOS, United Kingdom
Seller rating 4 out of 5 stars
HRD. Condition: New. New Book. Shipped from UK. Established seller since 2000.
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Integration of Internet of Things and Machine Learning : Design Models, Architectures and Application
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
Condition: New.
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Machine Learning Models and Architectures for Biomedical Signal Processing
Language: English
Published by Elsevier Science Publishing Co Inc, 2024
ISBN 10: 0443221588 ISBN 13: 9780443221583
Seller: THE SAINT BOOKSTORE, Southport, United Kingdom
Seller rating 5 out of 5 stars
£ 128.73
£ 23.15 shipping
Ships from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketPaperback / softback. Condition: New. New copy - Usually dispatched within 4 working days.
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Condition: new.
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Condition: As New. Unread book in perfect condition.
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Explainable Machine Learning Models and Architectures (Hardcover)
Language: English
Published by John Wiley & Sons Inc, New York, 2023
ISBN 10: 1394185847 ISBN 13: 9781394185849
Hardcover. Condition: new. Hardcover. EXPLAINABLE MACHINE LEARNING MODELS AND ARCHITECTURES This cutting-edge new volume covers the hardware architecture implementation, the software implementation approach, and the efficient hardware of machine learning applications. Machine learning and deep learning modules are now an integral part of many smart and automated systems where signal processing is performed at different levels. Signal processing in the form of text, images, or video needs large data computational operations at the desired data rate and accuracy. Large data requires more use of integrated circuit (IC) area with embedded bulk memories that further lead to more IC area. Trade-offs between power consumption, delay and IC area are always a concern of designers and researchers. New hardware architectures and accelerators are needed to explore and experiment with efficient machine-learning models. Many real-time applications like the processing of biomedical data in healthcare, smart transportation, satellite image analysis, and IoT-enabled systems have a lot of scope for improvements in terms of accuracy, speed, computational powers, and overall power consumption. This book deals with the efficient machine and deep learning models that support high-speed processors with reconfigurable architectures like graphic processing units (GPUs) and field programmable gate arrays (FPGAs), or any hybrid system. Whether for the veteran engineer or scientist working in the field or laboratory, or the student or academic, this is a must-have for any library. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
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Integration of Internet of Things and Machine Learning : Design Models, Architectures and Application
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
Condition: As New. Unread book in perfect condition.
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Explainable Machine Learning Models and Architectures (Hardcover)
Language: English
Published by John Wiley & Sons Inc, New York, 2023
ISBN 10: 1394185847 ISBN 13: 9781394185849
Hardcover. Condition: new. Hardcover. EXPLAINABLE MACHINE LEARNING MODELS AND ARCHITECTURES This cutting-edge new volume covers the hardware architecture implementation, the software implementation approach, and the efficient hardware of machine learning applications. Machine learning and deep learning modules are now an integral part of many smart and automated systems where signal processing is performed at different levels. Signal processing in the form of text, images, or video needs large data computational operations at the desired data rate and accuracy. Large data requires more use of integrated circuit (IC) area with embedded bulk memories that further lead to more IC area. Trade-offs between power consumption, delay and IC area are always a concern of designers and researchers. New hardware architectures and accelerators are needed to explore and experiment with efficient machine-learning models. Many real-time applications like the processing of biomedical data in healthcare, smart transportation, satellite image analysis, and IoT-enabled systems have a lot of scope for improvements in terms of accuracy, speed, computational powers, and overall power consumption. This book deals with the efficient machine and deep learning models that support high-speed processors with reconfigurable architectures like graphic processing units (GPUs) and field programmable gate arrays (FPGAs), or any hybrid system. Whether for the veteran engineer or scientist working in the field or laboratory, or the student or academic, this is a must-have for any library. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
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Explainable Machine Learning Models and Architectures
Seller: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Ireland
Seller rating 5 out of 5 stars
First Edition
Condition: New. 2023. 1st Edition. hardcover. . . . . .
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Condition: New. 1st edition NO-PA16APR2015-KAP.
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Hardcover. Condition: Brand New. 272 pages. 9.21x6.18x0.75 inches. In Stock.
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Condition: New. 2023. 1st Edition. hardcover. . . . . . Books ship from the US and Ireland.
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Hardcover. Condition: Brand New. 400 pages. 9.18x6.12x9.21 inches. In Stock.
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Condition: new. Questo è un articolo print on demand.
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Buch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The text outlines the integration of the Internet of Things and machine learning to drive technological advancements across various sectors. It further highlights common challenges and pitfalls encountered in the Internet of Things and machine learning projects.
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Buch. Condition: Neu. Integration of Internet of Things and Machine Learning | Design Models, Architectures and Application | Mudassir Khan (u. a.) | Buch | Einband - fest (Hardcover) | Englisch | 2026 | CRC Press | EAN 9781041062943 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.
