Machine Learning and Big Data Analytics / Springer Proceedings in Mathematics & Statistics Bd.401 (PDF)
- Lastschrift, Kreditkarte, Paypal, Rechnung
- Kostenloser tolino webreader
This edited volume on machine learning and big data analytics (Proceedings of ICMLBDA 2022) is intended to be used as a reference book for researchers and professionals to share their research and reports of new technologies and applications in Machine Learning and Big Data Analytics like biometric Recognition Systems, medical diagnosis, industries, telecommunications, AI Petri Nets Model-Based Diagnosis, gaming, stock trading, Intelligent Aerospace Systems, robot control, law, remote sensing and scientific discovery agents and multiagent systems; and natural language and Web intelligence.
The intent of this book is to provide awareness of algorithms used for machine learning and big data in the advanced Scientific Technologies, provide a correlation of multidisciplinary areas and become a point of great interest for Data Scientists, systems architects, developers, new researchers and graduate level students. This volume provides cutting-edge research from around the globe on this field. Current status, trends, future directions, opportunities, etc. are discussed, making it friendly for beginners and young researchers.
- 2023, 1st ed. 2023, 566 Seiten, Englisch
- Herausgegeben: Rajiv Misra, Rana Omer, Muttukrishnan Rajarajan, Bharadwaj Veeravalli, Nishtha Kesswani, Priyanka Mishra
- Verlag: Springer International Publishing
- ISBN-10: 3031151755
- ISBN-13: 9783031151750
- Erscheinungsdatum: 06.06.2023
Abhängig von Bildschirmgröße und eingestellter Schriftgröße kann die Seitenzahl auf Ihrem Lesegerät variieren.
- Dateiformat: PDF
- Größe: 17 MB
- Ohne Kopierschutz
- Vorlesefunktion
Schreiben Sie einen Kommentar zu "Machine Learning and Big Data Analytics / Springer Proceedings in Mathematics & Statistics Bd.401".
Kommentar verfassen