{
"item_title" : "Enabling Machine Learning Applications in Data Science",
"item_author" : [" Aboul Ella Hassanien", "Ashraf Darwish", "Sherine M. Abd El-Kader "],
"item_description" : "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.",
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Enabling Machine Learning Applications in Data Science : Proceedings of Arab Conference for Emerging Technologies 2020
Overview
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 item is Non-Returnable
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Details
- ISBN-13: 9789813361317
- ISBN-10: 981336131X
- Publisher: Springer
- Publish Date: May 2022
- Dimensions: 9.21 x 6.14 x 0.85 inches
- Shipping Weight: 1.28 pounds
- Page Count: 404
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