Machine Learning and Big Data Analytics Paradigms: Analysis, Applications and Challenges by Aboul Ella Hassanien & Ashraf Darwish

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

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  • Genre Computers & Internet
  • Publisher Walter de Gruyter GmbH & Co KG
  • Released
  • Size 109.72 MB
  • Length 255 Pages

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.

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