Innovations in Real-Time Machine Learning

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.

Dr. Arockia Sahaya Sheela, Ph.D., is a distinguished Computer Science researcher specializing in IoT, Cloud Computing, and Software Metrics. With a robust academic background, she has authored numerous research articles, edited books, and received accolades such as the Indian Scientist, Best Young Faculty, and Best Indian Researcher Awards.