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Data centric artificial intelligencea beginner's guide /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Data centric artificial intelligenceby Parikshit N. Mahalle ... [et al.].
Reminder of title:	a beginner's guide /
other author:	Mahalle, Parikshit N.
Published:	Singapore :Springer Nature Singapore :2023.
Description:	xii, 127 p. :ill., digital ;24 cm.
Contained By:	Springer Nature eBook
Subject:	Artificial intelligence.
Online resource:	https://doi.org/10.1007/978-981-99-6353-9
ISBN:	9789819963539$q(electronic bk.)

Data centric artificial intelligencea beginner's guide /
Data centric artificial intelligencea beginner's guide /[electronic resource] :by Parikshit N. Mahalle ... [et al.]. - Singapore :Springer Nature Singapore :2023. - xii, 127 p. :ill., digital ;24 cm. - Data-intensive research,2731-5568. - Data-intensive research..

Introduction -- Model-Centric AI -- Data-Centric Principles for AI Engineering -- Mathematical Foundation for Data Centric AI -- Data-Centric AI -- Data-Centric AI in healthcare -- Data-Centric AI in Mechanical Engineering -- Data-Centric AI in Information Communication and Technology -- Conclusion.

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.

ISBN: 9789819963539$q(electronic bk.)

Standard No.: 10.1007/978-981-99-6353-9doiSubjects--Topical Terms:

194058
Artificial intelligence.

LC Class. No.: Q335

Dewey Class. No.: 006.3

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