Data Science and Reliable Machine Learning

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https://www.logos-verlag.de/ebooks/OA/978-3-8325-5855-0.pdf
Contributor(s)
Hajian, Aram (editor)
Baloian, Nelson (editor)
Inoue, Tomoo (editor)
Luther, Wolfram (editor)
Language
English
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Abstract
In October 2024, researchers, students, and practitioners from Armenia, Chile, Germany, and Japan met at the American University of Armenia for the fourth edition of the Cadassca Workshop on Collaborative Technologies and Data Science in Smart City Applications. This book presents their contributions to emerging methodologies in data science, machine learning, applied and human-centered computing.
URI
https://directory.doabooks.org/handle/20.500.12854/148081
Keywords
Computer system organization; Computing methodologies; Applied computing; Human-centered computing; Security
DOI
10.30819/5855
Webshop link
https://www.logos-verlag.de/cg ...
ISBN
9783832558550
Publisher
Logos Verlag Berlin
Publication date and place
Berlin, 2024
Imprint
Logos Verlag Berlin
Classification
Computing and Information Technology
Embedded systems
Data capture and analysis
Information technology: general topics
Computer security
Data encryption
Artificial intelligence
Pages
167
Rights
https://creativecommons.org/licenses/by-nc-nd/4.0/
https://creativecommons.org/licenses/by-nc-nd/4.0/
Except where otherwise noted, this item's license is described as https://creativecommons.org/licenses/by-nc-nd/4.0/