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:
- 02/28/21
- Copyrighted By:
- The Editor
- 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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- by Aboul Ella Hassanien
- by Ashraf Darwish
- in Nonfiction
- in Computers and Internet
- in Technology