Description: Machine Learning and Big Data Analytics : 2nd International Conference on Machine Learning and Big Data Analytics-icmlbda, Iit Patna, India, March 2022, Hardcover by Misra, Rajiv (EDT); Omer, Rana (EDT); Rajarajan, Muttukrishnan (EDT); Veeravalli, Bharadwaj (EDT); Kesswani, Nishtha (EDT), ISBN 3031151747, ISBN-13 9783031151743, Brand New, Free shipping in the US This edited volume on machine learning and big data analytics (Proceedings of ICMLBDA 2022) is intended to be used as a referenc 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.
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Book Title: Machine Learning and Big Data Analytics : 2nd International Confe
Number of Pages: X, 566 Pages
Publication Name: Machine Learning and Big Data Analytics : 2nd International Conference on Machine Learning and Big Data Analytics-ICMLBDA, IIT Patna, India, March 2022
Language: English
Publisher: Springer International Publishing A&G
Subject: Probability & Statistics / General, Intelligence (Ai) & Semantics, General, Databases / General
Publication Year: 2023
Type: Textbook
Item Weight: 36 Oz
Author: Rana Omer
Subject Area: Mathematics, Computers, Science
Item Length: 9.3 in
Item Width: 6.1 in
Series: Springer Proceedings in Mathematics and Statistics Ser.
Format: Hardcover
