Overview
- Provides a detailed overview on latest advancements and applications in the field of Applied Artificial Intelligence and Data Science
- Demonstrates how AI applications have achieved great accuracy and performance with the help of the advancements in data processing and storage
- Written by experts in the field
Part of the book series: Studies in Computational Intelligence (SCI, volume 911)
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Table of contents (28 chapters)
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Artificial Intelligence and Optimization
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Big Data and Artificial Intelligence Applications
Keywords
About this book
Editors and Affiliations
Bibliographic Information
Book Title: Enabling AI Applications in Data Science
Editors: Aboul-Ella Hassanien, Mohamed Hamed N. Taha, Nour Eldeen M. Khalifa
Series Title: Studies in Computational Intelligence
DOI: https://doi.org/10.1007/978-3-030-52067-0
Publisher: Springer Cham
eBook Packages: Intelligent Technologies and Robotics, Intelligent Technologies and Robotics (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2021
Hardcover ISBN: 978-3-030-52066-3Published: 24 September 2020
Softcover ISBN: 978-3-030-52069-4Published: 25 September 2021
eBook ISBN: 978-3-030-52067-0Published: 23 September 2020
Series ISSN: 1860-949X
Series E-ISSN: 1860-9503
Edition Number: 1
Number of Pages: IX, 650
Number of Illustrations: 66 b/w illustrations, 154 illustrations in colour
Topics: Data Engineering, Computational Intelligence, Artificial Intelligence