Machine learning and big data analytics (Proceedings of International Conference on Machine Learning and Big Data Analytics (ICMLBDA) 2021) [electronic resource] / Rajiv Misra, Rudrapatna K. Shyamasundar, Amrita Chaturvedi, Rana Omer, editors.

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Machine learning and big data analytics (Proceedings of International Conference on Machine Learning and Big Data Analytics (ICMLBDA) 2021) [electronic resource] / Rajiv Misra, Rudrapatna K. Shyamasundar, Amrita Chaturvedi, Rana Omer, editors.

9783030824693 (electronic bk.)
3030824691 (electronic bk.)
3030824683
9783030824686

Cham, Switzerland : Springer, [2022]

©2022

English

1 online resource (xi, 362 pages).

10.1007/978-3-030-82469-3 doi

Q325.5 .I58 2021eb

006.3/1

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 setsi.e., big datato uncover hidden patterns, unknown correlations, market trends, customer preferences, and other useful information that can help organizations make more informed business decisions.

Includes author index.

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Online resource; title from PDF title page (SpringerLink, viewed October 12, 2021).

Lecture notes in networks and systems ; v. 256.

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