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Published by Taylor & Francis Ltd, London, 2019
ISBN 10: 1138339792 ISBN 13: 9781138339798
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Hardcover. Condition: new. Hardcover. The book focuses on how machine learning and the Internet of Things (IoT) has empowered the advancement of information driven arrangements including key concepts and advancements. Ontologies that are used in heterogeneous IoT environments have been discussed including interpretation, context awareness, analyzing various data sources, machine learning algorithms and intelligent services and applications. Further, it includes unsupervised and semi-supervised machine learning techniques with study of semantic analysis and thorough analysis of reviews. Divided into sections such as machine learning, security, IoT and data mining, the concepts are explained with practical implementation including results.Key FeaturesFollows an algorithmic approach for data analysis in machine learningIntroduces machine learning methods in applicationsAddress the emerging issues in computing such as deep learning, machine learning, Internet of Things and data analyticsFocuses on machine learning techniques namely unsupervised and semi-supervised for unseen and seen data setsCase studies are covered relating to human health, transportation and Internet applications The book focusses on how machine learning and Internet of Things (IoT) has empowered the advancement of information driven arrangements including key concepts and advancements. Divided into sections such as machine learning, security, IoT and data mining, the concepts are explained with practical implementation including results. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Language: English
Published by Taylor & Francis Group, 2019
ISBN 10: 1138339792 ISBN 13: 9781138339798
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Published by Taylor & Francis Group, 2019
ISBN 10: 1138339792 ISBN 13: 9781138339798
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First Edition
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Language: English
Published by Taylor & Francis Group, 2019
ISBN 10: 1138339792 ISBN 13: 9781138339798
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Add to basketHardcover. Condition: Brand New. 225 pages. 9.50x6.25x0.75 inches. In Stock.
Language: English
Published by Taylor & Francis Ltd, 2019
ISBN 10: 1138339792 ISBN 13: 9781138339798
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Language: English
Published by Taylor & Francis Ltd, London, 2019
ISBN 10: 1138339792 ISBN 13: 9781138339798
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Hardcover. Condition: new. Hardcover. The book focuses on how machine learning and the Internet of Things (IoT) has empowered the advancement of information driven arrangements including key concepts and advancements. Ontologies that are used in heterogeneous IoT environments have been discussed including interpretation, context awareness, analyzing various data sources, machine learning algorithms and intelligent services and applications. Further, it includes unsupervised and semi-supervised machine learning techniques with study of semantic analysis and thorough analysis of reviews. Divided into sections such as machine learning, security, IoT and data mining, the concepts are explained with practical implementation including results.Key FeaturesFollows an algorithmic approach for data analysis in machine learningIntroduces machine learning methods in applicationsAddress the emerging issues in computing such as deep learning, machine learning, Internet of Things and data analyticsFocuses on machine learning techniques namely unsupervised and semi-supervised for unseen and seen data setsCase studies are covered relating to human health, transportation and Internet applications The book focusses on how machine learning and Internet of Things (IoT) has empowered the advancement of information driven arrangements including key concepts and advancements. Divided into sections such as machine learning, security, IoT and data mining, the concepts are explained with practical implementation including results. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
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Add to basketCondition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Nilanjan Dey received his Ph. D. Degree from Jadavpur University, India, in 2015. He is an Assistant Professor in the Department of Information Technology, Techno India College of Technology, Kolkata, W.B., India. He holds an honorary po.