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9783030338220: Nature Inspired Computing for Data Science

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ISBN 10 : 3030338223 ISBN 13 : 9783030338220

Editeur : Springer, 2021

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This book discusses the current research and concepts in data science and how these can be addressed using different nature-inspired optimization techniques. Focusing on various data science problems, including classification, clustering, forecasting, and deep learning, it explores how researchers are using nature-inspired optimization techniques to find solutions to these problems in domains such as disease analysis and health care, object recognition, vehicular ad-hoc networking, high-dimensional data analysis, gene expression analysis, microgrids, and deep learning. As such it provides insights and inspiration for researchers to wanting to employ nature-inspired optimization techniques in their own endeavors.

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�diteurSpringer
Date d'�dition2021
ISBN 10 3030338223
ISBN 13 9783030338220
ReliureBroch�
Langueanglais
Nombre de pages312
�diteurRout Minakhi, Rout Jitendra Kumar, Das Himansu
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9783030338190: Nature Inspired Computing for Data Science

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ISBN 10 : 3030338193 ISBN 13 : 9783030338190
Editeur : Springer Nature Switzerland AG, 2020
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Nature Inspired Computing for Data Science

Edit� par Springer International Publishing, 2021

ISBN 10 : 3030338223 ISBN 13 : 9783030338220

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Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Focuses on the advances in nature-inspired computing and its value in data sciencePresents contributions from various fields of computational intelligence, machine learning, deep learning, and nature-inspired computing to build intelligent systems. N� de r�f. du vendeur 448679495

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Nature Inspired Computing for Data Science

Minakhi Rout

Edit� par Springer International Publishing, 2021

ISBN 10 : 3030338223 ISBN 13 : 9783030338220

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Taschenbuch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - This book discusses the current research and concepts in data science and how these can be addressed using different nature-inspired optimization techniques. Focusing on various data science problems, including classification, clustering, forecasting, and deep learning, it explores how researchers are using nature-inspired optimization techniques to find solutions to these problems in domains such as disease analysis and health care, object recognition, vehicular ad-hoc networking, high-dimensional data analysis, gene expression analysis, microgrids, and deep learning. As such it provides insights and inspiration for researchers to wanting to employ nature-inspired optimization techniques in their own endeavors. N� de r�f. du vendeur 9783030338220

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Nature Inspired Computing for Data Science

Minakhi Rout

Edit� par Springer International Publishing Jan 2021, 2021

ISBN 10 : 3030338223 ISBN 13 : 9783030338220

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Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book discusses the current research and concepts in data science and how these can be addressed using different nature-inspired optimization techniques. Focusing on various data science problems, including classification, clustering, forecasting, and deep learning, it explores how researchers are using nature-inspired optimization techniques to find solutions to these problems in domains such as disease analysis and health care, object recognition, vehicular ad-hoc networking, high-dimensional data analysis, gene expression analysis, microgrids, and deep learning. As such it provides insights and inspiration for researchers to wanting to employ nature-inspired optimization techniques in their own endeavors. 312 pp. Englisch. N� de r�f. du vendeur 9783030338220

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Nature Inspired Computing for Data Science

Minakhi Rout

Edit� par Springer International Publishing, Springer International Publishing Jan 2021, 2021

ISBN 10 : 3030338223 ISBN 13 : 9783030338220

Neuf Taschenbuch

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Taschenbuch. Etat : Neu. Neuware -This book discusses the current research and concepts in data science and how these can be addressed using different nature-inspired optimization techniques. Focusing on various data science problems, including classification, clustering, forecasting, and deep learning, it explores how researchers are using nature-inspired optimization techniques to find solutions to these problems in domains such as disease analysis and health care, object recognition, vehicular ad-hoc networking, high-dimensional data analysis, gene expression analysis, microgrids, and deep learning. As such it provides insights and inspiration for researchers to wanting to employ nature-inspired optimization techniques in their own endeavors.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 312 pp. Englisch. N� de r�f. du vendeur 9783030338220

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