Machine Learning and Big Data Analytics: Proceedings of ICMLBDA 2021

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) 1st ed. 2022 Edition
Author: Rajiv Misra,Rudrapatna K. Shyamasundar,Amrita Chaturvedi,Rana Omer (Editor)
Publisher Finelybook 出版社:Springer; 1st ed. 2022 edition (September 30, 2021)
Language 语言:English
pages 页数:376 pages
ISBN-10 书号:3030824683
ISBN-13 书号:9783030824686

Book Description
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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