Hassanien Enabling Machine Learning Applications in Data Science

Enabling Machine Learning Applications in Data Science

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Proceedings of Arab Conference for Emerging Technologies 2020

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Beschreibung

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.

 


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.

 


Presents high-quality research papers in machine learning applications in data science Features the outcomes of ACET 2020, held in Cairo, Egypt Serves as a reference resource for researchers and practitioners in academia and industry

Autor*in

Aboul Ella Hassanien

Themen in »Enabling Machine Learning Applications in Data Science«

ACET 2020 Big Data Internet of Thing Blockchain Technology Cloud and Fog Computing Arab Conference Proceedings Machine Learning Applications

Stimmen zu »Enabling Machine Learning Applications in Data Science«

Details

ISBN: 9789813361317
Verlag: Springer Singapore
Erscheinung: 29.05.2022

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