Advances in Machine Learning and Big Data Analytics: Icmlbda 2023, Nit Arunachal Pradesh, India, May 29-30: Vol 1

Patel, Ashokkumar (Editor)/ Kesswani, Nishtha (Editor)/ Mishra, Madhusudhan (Editor)/ Meher, Preetisudha (Editor)

ISBN 10: 3031513371 / ISBN 13: 9783031513374

Published by Springer Nature, 2025

About this Item

761 pages. 9.25x6.10x9.21 inches. In Stock.

Seller Inventory # __3031513371

Bibliographic Details

• Title: Advances in Machine Learning and Big Data Analytics: Icmlbda 2023, Nit Arunachal Pradesh, India, May 29-30: Vol 1
• Publisher: Springer Nature
• Publication Date: 2025
• Language: English
• ISBN 10: 3031513371
• ISBN 13: 9783031513374
• Binding: Hardcover
• Condition: Brand New
• Weight: 1.24 kilograms

About this title

Synopsis

This edited volume on machine learning and big data analytics (Proceedings of ICMLBDA 2023, that was held on May 29-30, 2023 by NERIST and NIT Arunachal Pradesh India) 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.