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Machine Learning and Big Data Analytics

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Machine Learning and Big Data Analytics Synopsis

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 globeon this field. Current status, trends, future directions, opportunities, etc. are discussed, making it friendly for beginners and young researchers.

About This Edition

ISBN: 9783031151774
Publication date:
Author: International Conference on Machine Learning and Big Data Analytics, India Indian Institute of Technology Patna
Publisher: Springer an imprint of Springer International Publishing
Format: Paperback
Pagination: 566 pages
Series: Springer Proceedings in Mathematics & Statistics
Genres: Probability and statistics
Machine learning
Databases

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