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Enabling Machine Learning Applications in Data Science : Proceedings of Arab Conference for Emerging Technologies 2020 /

This book gathers selected high-quality research papers presented at Arab Conference for Emerging Technologies 2020 organized virtually in Cairo during 21-23 June 2020. This book emphasizes the role and recent developments in the field of emerging technologies and artificial intelligence, and relate...

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Bibliographic Details
Corporate Author: SpringerLink (Online service)
Other Authors: Hassanien, Aboul Ella (Editor), Darwish, Ashraf (Editor), Abd El-Kader, Sherine M. (Editor), Alboaneen, Dabiah Ahmed (Editor)
Format: eBook
Language:English
Published: Singapore : Springer Singapore : Imprint: Springer, 2021.
Edition:1st ed. 2021.
Series:Algorithms for Intelligent Systems,
Subjects:
Computational intelligence.
Artificial intelligence.
Data structures (Computer science).
Machine learning.
Computational Intelligence.
Artificial Intelligence.
Data Structures and Information Theory.
Machine Learning.
Electronic books.
Online Access:Connect to the full text of this electronic book
Description
Summary:This book gathers selected high-quality research papers presented at Arab Conference for Emerging Technologies 2020 organized virtually in Cairo during 21-23 June 2020. This book emphasizes the role and recent developments in the field of emerging technologies and artificial intelligence, and related technologies with a special focus on sustainable development in the Arab world. The book targets high-quality scientific research papers with applications, including theory, practical, prototypes, new ideas, case studies and surveys which cover machine learning applications in data science. .
Physical Description:1 online resource (XII, 404 pages 215 illustrations, 138 illustrations in color.)
ISBN:9789813361294
ISSN:2524-7573
DOI:10.1007/978-981-33-6129-4