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{ "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.", "item_img_path" : "https://covers2.booksamillion.com/covers/bam/9/81/336/131/981336131X_b.jpg", "price_data" : { "retail_price" : "219.99", "online_price" : "219.99", "our_price" : "219.99", "club_price" : "219.99", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Enabling Machine Learning Applications in Data Science|Aboul Ella Hassanien

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

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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.

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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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