Name: Data-Centric Artificial Intelligence for Multidisciplinary Applications (en Inglés)
Price: 215.21 USD
Availability: InStock
Author: N. Mahalle Parikshit,Wasatkar Namrata Nishant,R. Shinde Gitanjali
ISBN: 9781032610061

portada Data-Centric Artificial Intelligence for Multidisciplinary Applications (en Inglés)

Data-Centric Artificial Intelligence for Multidisciplinary Applications (en Inglés)

Formato

Libro Físico

Editorial

Crc Press

Autor

N. Mahalle Parikshit,Wasatkar Namrata Nishant,R. Shinde Gitanjali

Idioma

Inglés

N° páginas

320

Encuadernación

Tapa Dura

ISBN13

9781032610061

N° edición

Data-Centric Artificial Intelligence for Multidisciplinary Applications (en Inglés)

N. Mahalle Parikshit,Wasatkar Namrata Nishant,R. Shinde Gitanjali (Autor) · Crc Press · Tapa Dura

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Reseña del libro "Data-Centric Artificial Intelligence for Multidisciplinary Applications (en Inglés)"

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