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ISBN 10: 6207488865 ISBN 13: 9786207488865
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Published by Editions Notre Savoir, 2024
ISBN 10: 6207696069 ISBN 13: 9786207696062
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Published by Edições Nosso Conhecimento, 2024
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Published by LAP LAMBERT Academic Publishing Apr 2024, 2024
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Taschenbuch. Condition: Neu. Neuware -With the advent of Bigdata technologies, healthcare data captured and stored at multiple granular levels and multiple formats. In the healthcare domain, includes hospitals, pharmaceuticals, and insurance companies have an enormous amount of data in structured tables. However, significant amounts of the big data remain underutilized due to data isolation, distribution, and heterogeneity. Despite interconnected tabular data linked together in some way for ML input, challenges are, increased dimensionality, normalization of data which is not natural representation, repetition of data on merging different aggregated data across tables. Machine learning models supposes the observations are not dependent however, the real world information is interconnected. Knowledge graphs and machine learning are two important tools to understand and model complex concepts, while machine learning is a process by which computers learn from data, without being explicitly programmed.Books on Demand GmbH, Überseering 33, 22297 Hamburg 52 pp. Englisch.
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ISBN 10: 6207488865 ISBN 13: 9786207488865
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Taschenbuch. Condition: Neu. Knowledge graph for Decision Engine | Sridhar Nomula | Taschenbuch | Englisch | 2024 | LAP LAMBERT Academic Publishing | EAN 9786207488865 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.
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Published by Edições Nosso Conhecimento, 2024
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Published by Editions Notre Savoir, 2024
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Published by Edições Nosso Conhecimento, 2024
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Taschenbuch. Condition: Neu. Wissensgrafik für Decision Engine | Sridhar Nomula | Taschenbuch | 56 S. | Deutsch | 2024 | Verlag Unser Wissen | EAN 9786207696048 | Verantwortliche Person für die EU: SIA OmniScriptum Publishing, Brivibas Gatve 197, 1039 RIGA, LETTLAND, customerservice[at]vdm-vsg[dot]de | Anbieter: preigu.
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Published by LAP LAMBERT Academic Publishing, 2024
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Published by Ediciones Nuestro Conocimiento Jun 2024, 2024
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Published by LAP Lambert Academic Publishing, 2024
ISBN 10: 6207488865 ISBN 13: 9786207488865
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. With the advent of Bigdata technologies, healthcare data captured and stored at multiple granular levels and multiple formats. In the healthcare domain, includes hospitals, pharmaceuticals, and insurance companies have an enormous amount of data in structur.
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ISBN 10: 6207696069 ISBN 13: 9786207696062
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Published by Editions Notre Savoir Jun 2024, 2024
ISBN 10: 6207696069 ISBN 13: 9786207696062
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Published by LAP LAMBERT Academic Publishing, 2024
ISBN 10: 6207488865 ISBN 13: 9786207488865
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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - With the advent of Bigdata technologies, healthcare data captured and stored at multiple granular levels and multiple formats. In the healthcare domain, includes hospitals, pharmaceuticals, and insurance companies have an enormous amount of data in structured tables. However, significant amounts of the big data remain underutilized due to data isolation, distribution, and heterogeneity. Despite interconnected tabular data linked together in some way for ML input, challenges are, increased dimensionality, normalization of data which is not natural representation, repetition of data on merging different aggregated data across tables. Machine learning models supposes the observations are not dependent however, the real world information is interconnected. Knowledge graphs and machine learning are two important tools to understand and model complex concepts, while machine learning is a process by which computers learn from data, without being explicitly programmed.