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ART OF FUTURE ENGINEERING: DATA FOR BETTER MODELS
Details
The field of data engineering for AI is poised for significant evolution. We will see an increasing emphasis on building intelligent and adaptive data infrastructure that can anticipate the evolving needs of AI models. The rise of synthetic data generation offers exciting possibilities for augmenting real-world datasets, addressing data scarcity issues, and enhancing privacy. Moreover, the principles of federated learning and privacy-preserving techniques will necessitate innovative approaches to data engineering that enable collaborative model training without compromising sensitive information.
Autorentext
Dr.A.Banushri is working as Associate Professor in Department of CSE in VISTAS Chennai.Dr.F.Benasir Begam is working as Assistant Professor in Department of CSE in VISTAS Chennai.Dr.K.Ulaga priya is working as Associate professor in Department of CSE in VISTAS Chennai.
Weitere Informationen
- Allgemeine Informationen
- GTIN 09786208119287
- Genre Financial Books & Career Guides
- Sprache Englisch
- Anzahl Seiten 168
- Herausgeber LAP LAMBERT Academic Publishing
- Gewicht 268g
- Größe H220mm x B150mm x T11mm
- Jahr 2025
- EAN 9786208119287
- Format Kartonierter Einband
- ISBN 978-620-8-11928-7
- Veröffentlichung 12.05.2025
- Titel ART OF FUTURE ENGINEERING: DATA FOR BETTER MODELS
- Autor Banushri A. , Benasir Begam F. , Ulaga priya K.
- Untertitel DE