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Principles of Data Science (Transactions on Computational Science and Computational Intelligence) - Hardcover
- PublisherSpringer
- Publication date2020
- ISBN 10 3030439801
- ISBN 13 9783030439804
- BindingHardcover
- Edition number1
- Number of pages290
- EditorArabnia Hamid R., Daimi Kevin, Stahlbock Robert, Soviany Cristina, Heilig Leonard, Brüssau Kai
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Principles of Data Science
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Gebunden. Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Hamid R. Arabnia received a Ph.D. degree in Computer Science from the University of Kent (England) in 1987. He is currently a Professor (Emeritus) of Computer Science at University of Georgia (Georgia, USA), where he has been since October 1987. H. Seller Inventory # 448682197
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Principles of Data Science
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ISBN 10: 3030439801
ISBN 13: 9783030439804
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Buch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book provides readers with a thorough understanding of various research areas within the field of data science. The book introduces readers to various techniques for data acquisition, extraction, and cleaning, data summarizing and modeling, data analysis and communication techniques, data science tools, deep learning, and various data science applications. Researchers can extract and conclude various future ideas and topics that could result in potential publications or thesis. Furthermore, this book contributes to Data Scientists' preparation and to enhancing their knowledge of the field. The book provides a rich collection of manuscripts in highly regarded data science topics, edited by professors with long experience in the field of data science. Introduces various techniques, methods, and algorithms adopted by Data Science expertsProvides a detailed explanation of data science perceptions, reinforced by practical examplesPresents a road map of future trends suitable for innovative data science research and practice 296 pp. Englisch. Seller Inventory # 9783030439804
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Principles of Data Science
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ISBN 13: 9783030439804
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Buch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book provides readers with a thorough understanding of various research areas within the field of data science. The book introduces readers to various techniques for data acquisition, extraction, and cleaning, data summarizing and modeling, data analysis and communication techniques, data science tools, deep learning, and various data science applications. Researchers can extract and conclude various future ideas and topics that could result in potential publications or thesis. Furthermore, this book contributes to Data Scientists' preparation and to enhancing their knowledge of the field. The book provides a rich collection of manuscripts in highly regarded data science topics, edited by professors with long experience in the field of data science. Introduces various techniques, methods, and algorithms adopted by Data Science expertsProvides a detailed explanation of data science perceptions, reinforced by practical examplesPresents a road map of future trends suitable for innovative data science research and practice. Seller Inventory # 9783030439804
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