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Modern Artificial Intelligence and Data Science 2024 : Tools, Techniques and Systems / edited by Abdellah Idrissi.

Springer eBooks EBA - Intelligent Technologies and Robotics Collection 2024 Available online

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Format:
Book
Contributor:
Idrissi, Abdellah, editor.
Series:
Studies in Computational Intelligence, 1860-9503 ; 1166
Language:
English
Subjects (All):
Engineering--Data processing.
Engineering.
Computational intelligence.
Artificial intelligence.
Data Engineering.
Computational Intelligence.
Artificial Intelligence.
Local Subjects:
Data Engineering.
Computational Intelligence.
Artificial Intelligence.
Physical Description:
1 online resource (591 pages)
Edition:
1st ed. 2024.
Place of Publication:
Cham : Springer Nature Switzerland : Imprint: Springer, 2024.
Summary:
This book, through its various chapters presenting recent advances in Modern Artificial Intelligence and Data Science as well as their applications, aims to set up lasting and real applications necessary for both academics and professionals. By its proposals of new ideas, it serves as a real guide both to informed readers and to beginners in these specialized fields. It also covers applications that discuss how they can support societal challenges such as education, health, agriculture, clean energy, business, environment, and security. Readers will find here the fruit of many research ideas covering a wide range of application areas that can be explored for the advancement of their research or the development of their business. These ideas present new techniques and trends projected in various areas of daily life. This book is therefore intended for Designers, Developers, Decision-Makers, Consultants, Engineers, and of course Master's/Doctorate Students, Researchers, and Universities.
Contents:
Artificial Intelligence Machine Learning and Deep Learning
Artificial Intelligence Computer Vision and NLP
Artificial Intelligence in Education and eHealth
Artificial Intelligence in Transport IoT and Security.
Notes:
Includes bibliographical references.
ISBN:
3-031-65038-7

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