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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.
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Machine Learning and Big Data Analytics - 2nd International Conference on Machine Learning and Big Data Analytics-ICMLBDA, IIT Patna, India, March 2022 (Hardcover, 1st ed. 2023)
Rajiv Misra, Rana Omer, Muttukrishnan Rajarajan, Bharadwaj Veeravalli, Nishtha Kesswani, …
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R5,283
Discovery Miles 52 830
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Ships in 10 - 15 working days
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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.
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