國立虎尾科技大學 |

Data centric artificial intelligence = a beginner's guide /

Record Type:	Language materials, printed : 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.;
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:

559380
Artificial intelligence.

LC Class. No.: Q335

Dewey Class. No.: 006.3

Data centric artificial intelligence = a beginner's guide /
LDR:01816nam a2200337 a 4500 001 1117715
003 DE-He213
005 20231010193336.0
006 m d
007 cr nn 008maaau
008 240126s2023 si s 0 eng d
020 $a 9789819963539 $q (electronic bk.)
020 $a 9789819963522 $q (paper)
024 7 $a 10.1007/978-981-99-6353-9 $2 doi
035 $a 978-981-99-6353-9
040 $a GP $c GP
041 0 $a eng
050 4 $a Q335
072 7 $a UYQ $2 bicssc
072 7 $a TEC009000 $2 bisacsh
072 7 $a UYQ $2 thema
082 0 4 $a 006.3 $2 23
090 $a Q335 $b .D232 2023
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 : $c 2023. $b Springer Nature Singapore : $b Imprint: Springer,
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 559380
650 0 $a Big data. $3 981821
650 1 4 $a Computational Intelligence. $3 768837
650 2 4 $a Artificial Intelligence. $3 646849
650 2 4 $a Data Science. $3 1174436
700 1 $a Mahalle, Parikshit N. $e editor. $3 1309913
710 2 $a SpringerLink (Online service) $3 593884
773 0 $t Springer Nature eBook
830 0 $a Data-intensive research. $3 1431567
856 4 0 $u https://doi.org/10.1007/978-981-99-6353-9
950 $a Intelligent Technologies and Robotics (SpringerNature-42732)