Innovations in Real-Time Machine Learning

By G Arockia Sahaya Sheela

Embark on a groundbreaking exploration of machine learning's avant-garde realms tailored for real-time datasets. This book unveils unique research areas where the immediacy of data is paramount. From adaptive algorithms for evolving streams to ethics in real-time decision-making, traverse uncharted territories where machine learning converges with the pulse of live data. Delve into anomaly detection in real-time, federated learning for distributed streams, and the fusion of AI with edge computing. This resource is a compass for researchers seeking to redefine the boundaries of machine learning in the context of dynamic, real-time datasets. Ignite your curiosity and shape the future of AI at the speed of now.

• Format: Paperback
• Language: English
• ISBN: 6206769445
• ISBN13: 9786206769446
• Release Date: January 2024
• Publisher: Scholars' Press
• Length: 416 Pages
• Weight: 1.34 lbs.
• Dimensions: 0.9" x 6.0" x 9.0"