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9780367657659 - Frontiers in Data Science Chapman & Hall/crc Big Data Series (14 results)
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US$ 69.59
Convert currencyUS$ 2.64 shipping within U.S.A.Quantity: Over 20 available
Add to basketCondition: New.
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Condition: New. pp. 383.
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Condition: New.
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US$ 68.54
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Frontiers in Data Science (Chapman & Hall/CRC Big Data Series)
Seller: Ria Christie Collections, Uxbridge, United Kingdom
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US$ 74.48
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Frontiers in Data Science
Published by Taylor & Francis Ltd, 2020
ISBN 10: 0367657651 ISBN 13: 9780367657659
Language: English
Seller: THE SAINT BOOKSTORE, Southport, United Kingdom
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US$ 74.22
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Add to basketPaperback / softback. Condition: New. New copy - Usually dispatched within 4 working days. 453.
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Frontiers in Data Science
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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US$ 74.20
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Add to basketPaperback. Condition: Brand New. 393 pages. 9.25x6.14x0.87 inches. In Stock.
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PAP. Condition: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
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Frontiers in Data Science
Seller: PBShop.store UK, Fairford, GLOS, United Kingdom
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US$ 77.00
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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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US$ 71.26
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Add to basketPaperback. Condition: Brand New. 393 pages. 9.25x6.14x0.87 inches. In Stock. This item is printed on demand.
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US$ 76.43
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Add to basketCondition: New. PRINT ON DEMAND pp. 383.
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US$ 63.02
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Add to basketCondition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Matthias Dehmer studied mathematics at the University of Siegen (Germany) and received his Ph.D. in computer science from the Technical University of Darmstadt (Germany). Afterwards, he was a research fellow at Vienna Bio Center (Austria), Vienna Univers.
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US$ 109.72
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Add to basketTaschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Frontiers in Data Science deals with philosophical and practical results in Data Science. A broad definition of Data Science describes the process of analyzing data to transform data into insights. This also involves asking philosophical, legal and social questions in the context of data generation and analysis. In fact, Big Data also belongs to this universe as it comprises data gathering, data fusion and analysis when it comes to manage big data sets. A major goal of this book is to understand data science as a new scientific discipline rather than the practical aspects of data analysis alone.
