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portada Data-Centric Artificial Intelligence for Multidisciplinary Applications
Type
Physical Book
Publisher
Author
Language
English
Pages
320
Format
Hardcover
ISBN13
9781032610061
Edition No.
1

Data-Centric Artificial Intelligence for Multidisciplinary Applications

N. Mahalle Parikshit,Wasatkar Namrata Nishant,R. Shinde Gitanjali (Author) · Crc Press · Hardcover

Data-Centric Artificial Intelligence for Multidisciplinary Applications - N. Mahalle Parikshit,Wasatkar Namrata Nishant,R. Shinde Gitanjali

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Synopsis "Data-Centric Artificial Intelligence for Multidisciplinary Applications"

This book explores the need for a data-centric AI approach and its application in the multidisciplinary domain, compared to a model-centric approach. It examines the methodologies for data-centric approaches, the use of data-centric approaches in different domains, the need for edge AI and how it differs from cloud-based AI. It discusses the new category of AI technology, "data-centric AI" (DCAI), which focuses on comprehending, utilising, and reaching conclusions from data. By adding machine learning and big data analytics tools, data-centric AI modifies this by enabling it to learn from data rather than depending on algorithms. It can therefore make wiser choices and deliver more precise outcomes. Additionally, it has the potential to be significantly more scalable than conventional AI methods.- Includes a collection of case studies with experimentation results to adhere to the practical approaches- Examine challenges in dataset generation, synthetic datasets, analysis and prediction algorithms in stochastic ways- Discusses methodologies to achieve accurate results by improving the quality of data- Comprises cases in Healthcare and Agriculture with implementation, impact of quality data in building AI applications

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