Machine learning methods in prospective studies after an example of financing innovation in Colombia
The purpose of this article is to make a brief introduction to five advanced machine learning prediction methods which may be useful for the development of prospective studies: logistic regression, support vector machines, gradient powered machines, random forests and neural networks. In addition, i...
Главные авторы: | Padilla-Ospina, Ana Milena, Medina-Vásquez, Javier Enrique, Ospina-Holguín, Javier Humberto |
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Формат: | Online |
Язык: | spa |
Опубликовано: |
Universidad Pedagógica y Tecnológica de Colombia
2020
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Предметы: | |
Online-ссылка: | https://revistas.uptc.edu.co/index.php/investigacion_duitama/article/view/11676 |
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