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Data Science and Artificial Intelligence : First International Conference, DSAI 2023, Bangkok, Thailand, November 27-29, 2023, Proceedings / edited by Chutiporn Anutariya, Marcello M. Bonsangue

Material type: materialTypeLabelE-bookSeries: (Communications in Computer and Information Science, 1865-0937 ; 1942).Publisher: Singapore : Springer Nature , 2023Edition: 1st ed 2023.Description: 1 recurso en línea.ISBN: 9789819979691.Subject: Inteligencia artificial -- Congresos y asambleasOnline resources: Acceso a este recurso digital (usuarios Universidad Europea de Madrid)Digital Resources
Contents:
Foundations of Data Science and AI -- Data Mining and Machine Learning -- Deep Learning -- Image Analysis and Object Recognition -- Large Language Models -- Data Science and AI in Healthcare -- AI and Creativity -- Data Science and AI in Education. .
Summary: This book constitutes the proceedings of the First International Conference, DSAI 2023, held in Bangkok, Thailand, during November 27-30, 2023. The 22 full papers and the 4 short papers included in this volume were carefully reviewed and selected from 70 submissions. This volume focuses on ideas, methodologies, and cutting-edge research that can drive progress and foster interdisciplinary collaboration in the fields of data science and artificial intelligence.
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Holdings
Item type Current library Collection Call number Status Date due Barcode Item holds
LIBRO-E NO PRÉSTAMO LIBRO-E NO PRÉSTAMO Madrid Digital Acceso Electrónico (UEM) Ciencias e Ingeniería Q334 2023 EB (Browse shelf(Opens below)) Acceso electrónico eBook04012745
Total holds: 0

Foundations of Data Science and AI -- Data Mining and Machine Learning -- Deep Learning -- Image Analysis and Object Recognition -- Large Language Models -- Data Science and AI in Healthcare -- AI and Creativity -- Data Science and AI in Education. .

This book constitutes the proceedings of the First International Conference, DSAI 2023, held in Bangkok, Thailand, during November 27-30, 2023. The 22 full papers and the 4 short papers included in this volume were carefully reviewed and selected from 70 submissions. This volume focuses on ideas, methodologies, and cutting-edge research that can drive progress and foster interdisciplinary collaboration in the fields of data science and artificial intelligence.

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