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)

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.

General

Imprint:	Springer International Publishing AG
Country of origin:	Switzerland
Series:	Springer Proceedings in Mathematics & Statistics, 401
Release date:	May 2023
First published:	2022
Editors:	Rajiv Misra • Rana Omer • Muttukrishnan Rajarajan • Bharadwaj Veeravalli • Nishtha Kesswani • Priyanka Mishra
Dimensions:	235 x 155mm (L x W)
Format:	Hardcover
Pages:	412
Edition:	1st ed. 2023
ISBN-13:	978-3-03-115174-3
Categories:	Books
LSN:	3-03-115174-7
Barcode:	9783031151743

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