Learning and Analytics in Intelligent Systems: Proceedings of the International Conference on Machine Intelligence, Tools, and Applications—ICMITA 2024

Dehuri, Satchidananda; Cho, Sung-Bae; Padhy, Venkat Prasad; Shanmugam, Poonkuntrun; Ghosh, Ashish

This book presents the recent advances including tools and techniques in the constantly changing landscape of machine learning (ML). This would enable the readers with a strong understanding of critical issues in ML by providing both broad and detailed perspectives on cutting-edge theories, algorithms, and tools. This will become a single source of reference on conceptual, methodological, technical, and managerial issues, as well as provide insight into emerging trends and future opportunities in the discipline of ML. This book contains altogether 36 chapters in the area of ML and its applications.

Details

Published by: Springer

Publication Date: 2025-07-31

Format: Paperback

ISBN-13: 9783031653940

DOI: 10.1007/978-3-031-65392-6

Dimensions: 235cm x155cm

Pages: 422