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Data centric artificial intelligence...

Mahalle, Parikshit N.

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Data centric artificial intelligence = a beginner's guide /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Data centric artificial intelligence/ by 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.
[NT 15003449]:	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.
Contained By:	Springer Nature eBook
Subject:	Artificial intelligence. -
Online resource:	https://doi.org/10.1007/978-981-99-6353-9
ISBN:	9789819963539

Data centric artificial intelligence = a 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

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

516317
Artificial intelligence.

LC Class. No.: Q335

Dewey Class. No.: 006.3

Data centric artificial intelligence = a beginner's guide /
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245 0 0 $a Data centric artificial intelligence $h [electronic resource] : $b a beginner's guide / $c by Parikshit N. Mahalle ... [et al.].
260 $a Singapore : $b Springer Nature Singapore : $b Imprint: Springer, $c 2023.
300 $a xii, 127 p. : $b ill., digital ; $c 24 cm.
490 1 $a Data-intensive research, $x 2731-5568
505 0 $a 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.
520 $a 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.
650 0 $a Artificial intelligence. $3 516317
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650 2 4 $a Artificial Intelligence. $3 769149
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950 $a Intelligent Technologies and Robotics (SpringerNature-42732)