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Machine Learning Applications Emerging (74 results)
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Machine Learning Applications: Emerging Trends (De Gruyter Frontiers in Computational Intelligence, 5)
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Machine Learning Applications : Emerging Trends
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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Machine Learning Applications : Emerging Trends
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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Paperback. Condition: Brand New. 153 pages. 9.45x6.69x0.33 inches. In Stock.
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Enabling Machine Learning Applications in Data Science. Proceedings of Arab Conference for Emerging Technologies 2020.
Book 45 of 95: Algorithms for Intelligent SystemsLanguage: English
Published by Singapore, Springer., 2021
ISBN 10: 981336128X ISBN 13: 9789813361287
Seller: Universitätsbuchhandlung Herta Hold GmbH, Berlin, Germany
Association Member: GIAQ ILAB VDA
Seller rating 4 out of 5 stars
XII, 404 p. Hardcover. Versand aus Deutschland / We dispatch from Germany via Air Mail. Einband bestoßen, daher Mängelexemplar gestempelt, sonst sehr guter Zustand. Imperfect copy due to slightly bumped cover, apart from this in very good condition. Stamped. Algorithms for Intelligent Systems. Sprache: Englisch.
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Machine Learning Applications: Emerging Trends
Seller: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Ireland
Seller rating 5 out of 5 stars
Condition: New. 2021. Paperback. . . . . .
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Condition: New. 1st edition NO-PA16APR2015-KAP.
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Condition: New. 2021. Paperback. . . . . . Books ship from the US and Ireland.
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Machine Learning Applications : Emerging Trends
Language: English
Published by De Gruyter, De Gruyter, 2022
ISBN 10: 3110777053 ISBN 13: 9783110777055
Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - The publication is attempted to address emerging trends in machine learning applications. Recent trends in information identification have identified huge scope in applying machine learning techniques for gaining meaningful insights. Random growth of unstructured data poses new research challenges to handle this huge source of information. Efficient designing of machine learning techniques is the need of the hour. Recent literature in machine learning has emphasized on single technique of information identification. Huge scope exists in developing hybrid machine learning models with reduced computational complexity for enhanced accuracy of information identification. This book will focus on techniques to reduce feature dimension for designing light weight techniques for real time identification and decision fusion. Key Findings of the book will be the use of machine learning in daily lives and the applications of it to improve livelihood. However, it will not be able to cover the entire domain in machine learning in its limited scope. This book is going to benefit the research scholars, entrepreneurs and interdisciplinary approaches to find new ways of applications in machine learning and thus will have novel research contributions. The lightweight techniques can be well used in real time which will add value to practice.
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Taschenbuch. Condition: Neu. Machine Learning Applications | Emerging Trends | Rik Das (u. a.) | Taschenbuch | XII | Englisch | 2022 | De Gruyter | EAN 9783110777055 | Verantwortliche Person für die EU: Walter de Gruyter GmbH, De Gruyter GmbH, Genthiner Str. 13, 10785 Berlin, productsafety[at]degruyterbrill[dot]com | Anbieter: preigu.
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Machine Learning - Advanced Techniques and Emerging Applications
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Machine Learning Applications: Emerging Trends (De Gruyter Frontiers in Computational Intelligence, 5)
Book 7 of 14: De Gruyter Frontiers in Computational IntelligenceSeller: Ria Christie Collections, Uxbridge, United Kingdom
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Domain-Specific Computer Architectures for Emerging Applications : Machine Learning and Neural Networks
Language: English
Published by Chapman and Hall/CRC, 2024
ISBN 10: 0367374536 ISBN 13: 9780367374532
Condition: As New. Unread book in perfect condition.
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Machine Learning and Data Mining for Emerging Trend in Cyber Dynamics: Theories and Applications
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Machine Learning Applications : Emerging Trends
Book 7 of 14: De Gruyter Frontiers in Computational IntelligenceSeller: GreatBookPricesUK, Woodford Green, United Kingdom
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Domain-Specific Computer Architectures for Emerging Applications : Machine Learning and Neural Networks
Language: English
Published by Chapman and Hall/CRC, 2024
ISBN 10: 0367374536 ISBN 13: 9780367374532
Condition: New.
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Domain-Specific Computer Architectures for Emerging Applications : Machine Learning and Neural Networks
Language: English
Published by Chapman and Hall/CRC, 2024
ISBN 10: 0367374536 ISBN 13: 9780367374532
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
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Domain-Specific Computer Architectures for Emerging Applications : Machine Learning and Neural Networks
Language: English
Published by Chapman and Hall/CRC, 2024
ISBN 10: 0367374536 ISBN 13: 9780367374532
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
£ 123.78
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Condition: As New. Unread book in perfect condition.
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Domain-Specific Computer Architectures for Emerging Applications: Machine Learning and Neural Networks
Language: English
Published by Taylor & Francis Ltd, 2024
ISBN 10: 0367374536 ISBN 13: 9780367374532
Seller: THE SAINT BOOKSTORE, Southport, United Kingdom
Seller rating 5 out of 5 stars
Hardback. Condition: New. New copy - Usually dispatched within 4 working days.
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Hardcover. Condition: Brand New. 230 pages. 9.44x6.69x0.47 inches. In Stock.
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Machine Learning Applications : Emerging Trends
Book 7 of 14: De Gruyter Frontiers in Computational IntelligenceSeller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
£ 137.54
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Machine Learning Applications : Emerging Trends
Book 7 of 14: De Gruyter Frontiers in Computational IntelligenceLanguage: English
Published by De Gruyter, De Gruyter, 2020
ISBN 10: 3110608537 ISBN 13: 9783110608533
Buch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - The publication is attempted to address emerging trends in machine learning applications. Recent trends in information identification have identified huge scope in applying machine learning techniques for gaining meaningful insights. Random growth of unstructured data poses new research challenges to handle this huge source of information. Efficient designing of machine learning techniques is the need of the hour. Recent literature in machine learning has emphasized on single technique of information identification. Huge scope exists in developing hybrid machine learning models with reduced computational complexity for enhanced accuracy of information identification. This book will focus on techniques to reduce feature dimension for designing light weight techniques for real time identification and decision fusion. Key Findings of the book will be the use of machine learning in daily lives and the applications of it to improve livelihood. However, it will not be able to cover the entire domain in machine learning in its limited scope. This book is going to benefit the research scholars, entrepreneurs and interdisciplinary approaches to find new ways of applications in machine learning and thus will have novel research contributions. The lightweight techniques can be well used in real time which will add value to practice.
