Machine Learning and Big Data Analytics Paradigms: Analysis, Applications and Challenges: 77 - Rilegato

Rilegato

ISBN 10: 3030593371 ISBN 13: 9783030593377

Casa editrice: Springer-Nature New York Inc, 2020

Riassunto

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.

Su questo libro

Dalla quarta di copertina

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.

Dettagli dell?edizione

• Editore: Springer-Nature New York Inc
• Data di pubblicazione: 2020
• Lingua: Inglese
• ISBN 10: 3030593371
• ISBN 13: 9783030593377
• Rilegatura: Copertina rigida
• Numero edizione: 1
• Numero di pagine: 648
• Redattore: Hassanien Aboul Ella, Darwish Ashraf
• Contatto del produttore: {language_tag:it_IT,value:"Springer Nature Customer Service Center GmbH; ProductSafety@springernature.com"}