Machine Learning and Big Data Analytics Paradigms: Analysis, Applications and Challenges (1st ed. 2021) (Studies in Big Data #77)

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Synopsis
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.
Copyright:
2021

Book Details

Book Quality:
Publisher Quality
ISBN-13:
9783030593384
Related ISBNs:
9783030593377
Publisher:
Springer International Publishing
Date of Addition:
Copyrighted By:
Springer
Adult content:
No
Language:
English
Has Image Descriptions:
No
Categories:
Nonfiction, Computers and Internet, Technology
Submitted By:
Bookshare Staff
Usage Restrictions:
This is a copyrighted book.
Edited by:
Aboul Ella Hassanien
Edited by:
Ashraf Darwish

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