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Published by Taylor & Francis Ltd, 2024
ISBN 10: 0367715120 ISBN 13: 9780367715120
Language: English
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Add to basketPaperback. Condition: Brand New. 274 pages. 9.18x6.12x9.21 inches. In Stock.
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Published by Taylor & Francis Ltd, 2022
ISBN 10: 0367715112 ISBN 13: 9780367715113
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Published by Engineering Science Reference, 2021
ISBN 10: 1799877027 ISBN 13: 9781799877028
Language: English
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Published by Engineering Science Reference, 2021
ISBN 10: 1799877027 ISBN 13: 9781799877028
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ISBN 10: 1799877027 ISBN 13: 9781799877028
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ISBN 10: 1799877027 ISBN 13: 9781799877028
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Published by Engineering Science Reference, 2021
ISBN 10: 1799877019 ISBN 13: 9781799877011
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Add to basketHardcover. Condition: Brand New. 296 pages. 9.19x6.13x0.79 inches. In Stock.
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ISBN 10: 1799877019 ISBN 13: 9781799877011
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Add to basketPaperback. Condition: Brand New. 274 pages. 9.18x6.12x9.21 inches. In Stock. This item is printed on demand.
Published by Taylor & Francis Ltd, 2024
ISBN 10: 0367715120 ISBN 13: 9780367715120
Language: English
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Add to basketTaschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This book investigates the role of data mining in computational statistics for machine learning. It offers applications that can be used in various domains and examines the role of transformation functions in optimizing problem statements.
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Add to basketHardcover. Condition: Brand New. 296 pages. 9.19x6.13x0.79 inches. In Stock. This item is printed on demand.
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Add to basketPAP. Condition: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
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PAP. Condition: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
Published by Engineering Science Reference, 2021
ISBN 10: 1799877027 ISBN 13: 9781799877028
Language: English
Seller: moluna, Greven, Germany
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Add to basketCondition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Provides a guide to the applications of new advances in computational statistics. The book focuses on core computational statistics that apply to all domains, and cover topics including artificial intelligence, deep learning, and trend analysis.Klap.
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Add to basketHRD. Condition: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
Seller: PBShop.store US, Wood Dale, IL, U.S.A.
HRD. Condition: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
Seller: AHA-BUCH GmbH, Einbeck, Germany
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Add to basketBuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - With the rapidly advancing fields of Data Analytics and Computational Statistics, it's important to keep up with current trends, methodologies, and applications. This book investigates the role of data mining in computational statistics for machine learning. It offers applications that can be used in various domains and examines the role of transformation functions in optimizing problem statements.Data Analytics, Computational Statistics, and Operations Research for Engineers: Methodologies and Applications presents applications of computationally intensive methods, inference techniques, and survival analysis models. It discusses how data mining extracts information and how machine learning improves the computational model based on the new information.Those interested in this reference work will include students, professionals, and researchers working in the areas of data mining, computational statistics, operations research, and machine learning.
Published by Engineering Science Reference, 2021
ISBN 10: 1799877027 ISBN 13: 9781799877028
Language: English
Seller: AHA-BUCH GmbH, Einbeck, Germany
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Add to basketTaschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 'This book delves into computational statistics that focus on devising an efficient methodology to obtain quantitative solutions for problems that are devised quantitatively and brings together computational capability and statistical advanced thought processes to solve some of the problems encountered in the field'.