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Adopting artificial intelligence and data science to optimize quantitative research methodology
Authors:
Ramos Choquehuanca, Angelino Abad; Rasilla Rovegno, José Ricardo; Castillo Paredes, Omar Tupac Amaru; Asenjo Castro, Víctor Manuel; Rodriguez Del Río, Desiree Azucena; Yato Valencia, Juan Emersson; Valiente Mendoza, Juan Manuel
ISBN: 978-9915-698-30-4*
ARK: ark:/10951/isbn.9789915698304
DOI: https://doi.org/10.17613/dvg78-48c05
«…Traditional quantitative research, a fundamental pillar of the social, economic, and natural sciences, is entering an era of unprecedented transformation, driven by the explosion of data and technological advances. This book, «Adopting Artificial Intelligence and Data Science to Optimize Quantitative Research Methodology,» addresses the critical convergence between these established research methodologies and the more dynamic frontiers of Artificial Intelligence (AI) and Data Science (DS). The purpose is clear: to provide researchers, academics, and professionals with the conceptual and practical tools necessary to optimize, automate, and deepen their quantitative research processes…»
Angelino Abad Ramos Choquehuanca
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Published: 30/08/2025
Location: Colonia, Colonia, Uruguay
Catalogue ISBN – Uruguay: 978-9915-698-30-4*
