BÜCHER VERSANDKOSTENFREI INNERHALB DEUTSCHLANDS
eBook
Distributed Machine Learning and Computing
Theory and Applications
Springer Nature Switzerland
ISBN 978-3-031-57567-9
Standardpreis
Bibliografische Daten
eBook. PDF. Weiches DRM (Wasserzeichen)
2024
X, 158 p. 29 illus., 28 illus. in color..
In englischer Sprache
Umfang: 158 S.
Verlag: Springer Nature Switzerland
ISBN: 978-3-031-57567-9
Weiterführende bibliografische Daten
Das Werk ist Teil der Reihe: Engineering Big and Integrated Artificial Intelligence Engineering (R0)
Produktbeschreibung
This book focuses on a wide range of distributed machine learning and computing algorithms and their applications in healthcare and engineering systems. The contributors explore how these techniques can be applied to different real-world problems. It is suitable for students and researchers interested in conducting research in multidisciplinary areas that rely on distributed machine learning and computing techniques.
- Specifies the value of efficient theoretical methods in dealing with large-scale decision-making problems;
- Provides an investigation of distributed machine learning and optimization algorithms for large-scale networks;
- Includes basics and mathematical foundations needed to analyze and address the interdependent complex networks.
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