Data Centric Artificial Intelligence: A Beginner’s Guide
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Beschreibung
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.
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.
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
Autor*in
Parikshit N. Mahalle
Themen in »Data Centric Artificial Intelligence: A Beginner’s Guide«
Model-Centric AI Data-Centric Principles for AI Engineering Data-Centric AI in healthcare Health Informatics Information Communication and Technology