Machine Learning and Big Data Analytics (Proceedings of International Conference on Machine Learning and Big Data Analytics (ICMLBDA) 2021) (Paperback, 1st ed. 2022)

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.

General

Imprint:	Springer Nature Switzerland AG
Country of origin:	Switzerland
Series:	Lecture Notes in Networks and Systems, 256
Release date:	October 2021
First published:	2022
Editors:	Rajiv Misra • Rudrapatna K. Shyamasundar • Amrita Chaturvedi • Rana Omer
Dimensions:	235 x 155mm (L x W)
Format:	Paperback
Pages:	362
Edition:	1st ed. 2022
ISBN-13:	978-3-03-082468-6
Categories:	Books > Computing & IT > Applications of computing > Databases > General Books > Computing & IT > Applications of computing > Artificial intelligence > Machine learning
LSN:	3-03-082468-3
Barcode:	9783030824686

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