ISBN: 9783030593377 - machine learning and big data analytics paradigms: analysis, applications and challenges (studies in big data, 77, band 77) (13 Ergebnisse)

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Zustand: New.

Zustand: As New. Unread book in perfect condition.

Zustand: New. pp. 607.

Hardcover. Zustand: Brand New. 648 pages. 9.50x6.25x1.50 inches. In Stock.

Zustand: new. Questo è un articolo print on demand.

Zustand: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Presents recent research in Machine Learning and Big Data AnalyticsProvides an Analysis, Applications, and Challenges of Big Data and Machine LearningExhibits various technologies to create systems that can learn from the data in the.…

Buch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book is intended to present the state of the art in research on machine learning and big data analytics.The accepted chapterscovered many themes including artificial intelligence and data mining applications,machine learning and applications, deep learning technology for big data analytics, and modeling, simulation, and security with big data. It is a valuable resource for researchers in the area of big data analytics and its applications. 660 pp. Englisch.…

Buch. Zustand: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book is intended to present the state of the art in research on machine learning and big data analytics. The accepted chapters covered many themes including artificial intelligence and data mining applications, machine learning and applications, deep learning technology for big data analytics, and modeling, simulation, and security with big data. It is a valuable resource for researchers in the area of big data analytics and its applications.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 660 pp. Englisch. …

Buch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This book is intended to present the state of the art in research on machine learning and big data analytics.The accepted chapterscovered many themes including artificial intelligence and data mining applications,machine learning and applications, deep learning technology for big data analytics, and modeling, simulation, and security with big data. It is a valuable resource for researchers in the area of big data analytics and its applications.…

Zustand: New. Print on Demand pp. 607.

Zustand: New. PRINT ON DEMAND pp. 607.