Machine Learning and Big Data Analytics (Proceedings of International Conference on Machine Learning and Big Data Analytics (ICMLBDA) 2021) / Lecture Notes in Networks and Systems Bd.256 (PDF)
(Sprache: Englisch)
This edited volume on machine learning and big data analytics (Proceedings of ICMLBDA 2021) is intended to be used as a reference book for researchers and practitioners in the disciplines of computer science, electronics and telecommunication, information...
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Produktinformationen zu „Machine Learning and Big Data Analytics (Proceedings of International Conference on Machine Learning and Big Data Analytics (ICMLBDA) 2021) / Lecture Notes in Networks and Systems Bd.256 (PDF)“
This edited volume on machine learning and big data analytics (Proceedings of ICMLBDA 2021) is intended to be used as a reference book for researchers and practitioners in the disciplines of computer science, electronics and telecommunication, information science, and electrical engineering. Machine learning and Big data analytics represent a key ingredients in the industrial applications for new products and services. Big data analytics applies machine learning for predictions by examining large and varied data sets-i.e., big data-to uncover hidden patterns, unknown correlations, market trends, customer preferences, and other useful information that can help organizations make more informed business decisions.
Bibliographische Angaben
- 2021, 1st ed. 2022, 362 Seiten, Englisch
- Herausgegeben: Rajiv Misra, Rudrapatna K. Shyamasundar, Amrita Chaturvedi, Rana Omer
- Verlag: Springer International Publishing
- ISBN-10: 3030824691
- ISBN-13: 9783030824693
- Erscheinungsdatum: 29.09.2021
Abhängig von Bildschirmgröße und eingestellter Schriftgröße kann die Seitenzahl auf Ihrem Lesegerät variieren.
eBook Informationen
- Dateiformat: PDF
- Größe: 43 MB
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Sprache:
Englisch
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