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Innovations in Real-Time Machine Learning: Navigating Dynamic Dataset

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Book Details
Language
English
Publishers
Scholars' Press (17 Jan. 2024)
Weight
0.6 KG
Publication Date
17/01/2024
ISBN-10
6206769445
Pages
416 pages
ISBN-13
9786206769446
Dimensions
15.24 x 2.36 x 22.86 cm
SKU
9786206769446
Author Name
G. Arockia Sahaya Sheela (Author)
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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.

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