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handle: 10261/335014 , 10261/380505
Objetivo del curso: Aprender a utilizar las principales técnicas de Machine Learning o aprendizaje automático, basadas en árboles, comprendiendo en profundidad su funcionamiento. Dirigido a: Investigadores de cualquier rama de las ciencias naturales y cualquier nivel académico. El curso tiene una fuerte componente práctica (≈ 80%), con 40 ejercicios prácticos, la mayoría con datos y problemas reales, que se irán viendo simultáneamente con la teoría
Seminario impartido por Manuel Mendoza García. Científico Titular, Museo Nacional de Ciencias Naturales (CSIC). De lunes, 19 Abril 2021 a jueves, 29 Abril 2021 Horario:19-23 / 26-29 de abril de 2021 de 16h a 19h (27 horas). Ubicación: Salón de Actos del Museo Plazas 20
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Técnicas de Machine, http://metadata.un.org/sdg/4, Ensure inclusive and equitable quality education and promote lifelong learning opportunities for all
Técnicas de Machine, http://metadata.un.org/sdg/4, Ensure inclusive and equitable quality education and promote lifelong learning opportunities for all
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
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