Machine Learning Algorithms for Industrial Applications / Studies in Computational Intelligence Bd.907 (PDF)
(Sprache: Englisch)
This book explores several problems and their solutions regarding data analysis and prediction for industrial applications. Machine learning is a prominent topic in modern industries: its influence can be felt in many aspects of everyday life, as the world...
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This book explores several problems and their solutions regarding data analysis and prediction for industrial applications. Machine learning is a prominent topic in modern industries: its influence can be felt in many aspects of everyday life, as the world rapidly embraces big data and data analytics. Accordingly, there is a pressing need for novel and innovative algorithms to help us find effective solutions in industrial application areas such as media, healthcare, travel, finance, and retail. In all of these areas, data is the crucial parameter, and the main key to unlocking the value of industry.
The book presents a range of intelligent algorithms that can be used to filter useful information in the above-mentioned application areas and efficiently solve particular problems. Its main objective is to raise awareness for this important field among students, researchers, and industrial practitioners.
Bibliographische Angaben
- 2020, 1st ed. 2021, 315 Seiten, Englisch
- Herausgegeben: Santosh Kumar Das, Shom Prasad Das, Nilanjan Dey, Aboul-Ella Hassanien
- Verlag: Springer-Verlag GmbH
- ISBN-10: 303050641X
- ISBN-13: 9783030506414
- Erscheinungsdatum: 18.07.2020
Abhängig von Bildschirmgröße und eingestellter Schriftgröße kann die Seitenzahl auf Ihrem Lesegerät variieren.
eBook Informationen
- Dateiformat: PDF
- Größe: 13 MB
- Ohne Kopierschutz
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Sprache:
Englisch
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