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Anglický jazyk
Innovations in Real-Time Machine Learning
Autor: 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... Viac o knihe
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117.45 €
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O knihe
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.
- Vydavateľstvo: Scholars' Press
- Rok vydania: 2024
- Formát: Paperback
- Rozmer: 220 x 150 mm
- Jazyk: Anglický jazyk
- ISBN: 9786206769446
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