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Machine learning and big data analytics2nd International Conference on Machine Learning and Big Data Analytics-ICMLBDA, IIT Patna, India, March 2022 /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Machine learning and big data analyticsedited by Rajiv Misra ... [et al.].
Reminder of title:	2nd International Conference on Machine Learning and Big Data Analytics-ICMLBDA, IIT Patna, India, March 2022 /
other author:	Misra, Rajiv.
corporate name:
Published:	Cham :Springer International Publishing :2023.
Description:	x, 566 p. :ill. (chiefly color), digital ;24 cm.
Contained By:	Springer Nature eBook
Subject:	Machine learningCongresses.
Online resource:	https://doi.org/10.1007/978-3-031-15175-0
ISBN:	9783031151750$q(electronic bk.)

Machine learning and big data analytics2nd International Conference on Machine Learning and Big Data Analytics-ICMLBDA, IIT Patna, India, March 2022 /
Machine learning and big data analytics2nd International Conference on Machine Learning and Big Data Analytics-ICMLBDA, IIT Patna, India, March 2022 /[electronic resource] :edited by Rajiv Misra ... [et al.]. - Cham :Springer International Publishing :2023. - x, 566 p. :ill. (chiefly color), digital ;24 cm. - Springer proceedings in mathematics & statistics,v. 4012194-1017 ;. - Springer proceedings in mathematics & statistics,v. 401..

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.

ISBN: 9783031151750$q(electronic bk.)

Standard No.: 10.1007/978-3-031-15175-0doiSubjects--Topical Terms:

384498
Machine learning
--Congresses.

LC Class. No.: Q325.5

Dewey Class. No.: 006.31

Machine learning and big data analytics2nd International Conference on Machine Learning and Big Data Analytics-ICMLBDA, IIT Patna, India, March 2022 /
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