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Springer Machine Learning and Big Data Analytics Paradigms: Analysis, Applications and Challenges: 77 (Studies in Big Data, 77)
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Description
Product Description 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. From the Back Cover 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.
Product Specifications
- Brand
- Springer
- Format
- hardcover
- ASIN
- 3030593371
- Domain
- Amazon UK
- Release Date
- 15 December 2020
- Listed Since
- 12 August 2020
Barcode
No barcode data available
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