This book discusses the best research roadmaps, strategies, and challenges in data-centric approach of artificial intelligence (AI) in various domains. It also highlights different phases in data-centric approach and data-centric principles. The book presents prominent use cases of data-centric AI.
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This book discusses the best research roadmaps, strategies, and challenges in data-centric approach of artificial intelligence (AI) in various domains. It presents comparative studies of model-centric and data-centric AI. It also highlights different phases in data-centric approach and data-centric principles. The book presents prominent use cases of data-centric AI. It serves as a reference guide for researchers and practitioners in academia and industry.
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Discusses basics of model centric AI and data centric AI, its relevance and need Provides in-depth understanding of various challenges of data centric AI applications Elaborates on problem solving and data centric AI approaches
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Produktdetaljer
ISBN
9789819963553
Publisert
2024-10-12
Utgiver
Springer Verlag, Singapore
Høyde
235 mm
Bredde
155 mm
Aldersnivå
Research, P, 06
Språk
Product language
Engelsk
Format
Product format
Heftet