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Machine Learning: Theoretical Foundations and Practical Applications: 87 (Studies in Big Data, 87) - Hardcover

 
9789813365179: Machine Learning: Theoretical Foundations and Practical Applications: 87 (Studies in Big Data, 87)

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9789813365209: Machine Learning: Theoretical Foundations and Practical Applications: 87 (Studies in Big Data, 87)

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ISBN 10: 981336517X ISBN 13: 9789813365179
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Published by Springer, 2021
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Pandey, Manjusha|Rautaray, Siddharth Swarup
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ISBN 10: 981336517X ISBN 13: 9789813365179
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Discusses applications of machine learning&nbspPresents chapters invited and written by experts at 10th industry symposium in Bhubaneswar, IndiaServes as a reference resource for researchers and practitioners in academia and industr. Seller Inventory # 437752805

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ISBN 10: 981336517X ISBN 13: 9789813365179
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Buch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This edited book is a collection of chapters invited and presented by experts at 10th industry symposium held during 9-12 January 2020 in conjunction with 16th edition of ICDCIT. The book covers topics, like machine learning and its applications, statistical learning, neural network learning, knowledge acquisition and learning, knowledge intensive learning, machine learning and information retrieval, machine learning for web navigation and mining, learning through mobile data mining, text and multimedia mining through machine learning, distributed and parallel learning algorithms and applications, feature extraction and classification, theories and models for plausible reasoning, computational learning theory, cognitive modelling and hybrid learning algorithms. 184 pp. Englisch. Seller Inventory # 9789813365179

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ISBN 10: 981336517X ISBN 13: 9789813365179
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Buch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This edited book is a collection of chapters invited and presented by experts at 10th industry symposium held during 9-12 January 2020 in conjunction with 16th edition of ICDCIT. The book covers topics, like machine learning and its applications, statistical learning, neural network learning, knowledge acquisition and learning, knowledge intensive learning, machine learning and information retrieval, machine learning for web navigation and mining, learning through mobile data mining, text and multimedia mining through machine learning, distributed and parallel learning algorithms and applications, feature extraction and classification, theories and models for plausible reasoning, computational learning theory, cognitive modelling and hybrid learning algorithms. Seller Inventory # 9789813365179

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Published by Springer, 2021
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Pandey, Manjusha (Edited by)/ Rautaray, Siddharth Swarup (Edited by)
Published by Springer, 2021
ISBN 10: 981336517X ISBN 13: 9789813365179
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Hardcover. Condition: Brand New. 183 pages. 9.25x6.10x0.59 inches. In Stock. Seller Inventory # x-981336517X

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