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  1. Inicio
  2. Examinar por materia

Examinando por Materia "Prediction"

Mostrando 1 - 6 de 6
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  • No hay miniatura disponible
    Ítem
    Competencias que mejor predicen la calidad del desempeño de las personas que trabajan en organizaciones E-commerce colombiana
    (Universidad EAFIT, 2022) Orduz Gómez, Natalia; Granados Gómez, Patricia Diana; Sanín Posada, John Alejandro
    Competencies have the ability to predict and explain the quality of performance. In turn, performance is a predictor of the organization's productivity. This also happens in E-commerce companies. Taking into account that in Colombia this type of company generates a significant proportion of employment and it is expected that it will increase in the future. The objective of this research is to explore the competencies that best predict the quality of performance of the people who work in this type of organization. To find out about them, (eight) E-commerce experts with experience of 2 or more years in the HR area were interviewed. Through content analysis, emerging categories were built that allowed discovering the competencies that best predict the quality of performance of the people who work in these organizations in Colombia. At the end, it is discussed how these findings contribute to E-commerce organizations, organizational leaders, collaborators and human resources areas, as input for selection processes, and training.
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    Miniatura
    Ítem
    Forecasting of time series with trend and seasonal cycle using the airline model and artificial neural networks
    (Universidad EAFIT, 2012-06-15) Velásquez, J D; Franco, C J; Universidad Nacional de Colombia
  • No hay miniatura disponible
    Publicación
    Hurto a personas en la ciudad de Medellín : análisis predictivo de la cantidad de casos en diferentes zonas de la ciudad a partir de modelos de machine learning implementando técnicas de MLOps
    (Universidad EAFIT, 2023) Arboleda Colorado, Jeferson Stiven; Martínez Vargas, Juan David
    Robbery of individuals in Medellín is an issue demanding immediate attention. This prompted the study of the phenomenon within an analytics project, spanning data collection, database construction, modeling, and production deployment. It's worth noting that MLOps methodology was employed utilizing AWS services. Visual tools related to the phenomenon were integrated, facilitating analysis.
  • No hay miniatura disponible
    Publicación
    Incorporating a predictive component in a dynamic segmentation approach
    (Universidad EAFIT, 2021) Saldarriaga Aristizábal, Pablo Andrés; Laniado, Heny; Monroy, Juan Carlos
  • No hay miniatura disponible
    Publicación
    Predicción de alteraciones nutricionales en función del índice peso para la talla en niños menores de 5 años, de la ciudad de Medellín
    (Universidad EAFIT, 2023) Bedoya Ríos, Santiago; Martínez Vargas, Juan David; Sepúlveda Cano, Lina María
  • No hay miniatura disponible
    Publicación
    Predicting the entrepreneurial process phases : a machine learning approach
    (Universidad EAFIT, 2021) Ceballos Arias, Juan Camilo; Álvarez Barrera, Claudia Patricia; Almonacid Hurtado, Paula María

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