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DIGITAL.CSIC
Other ORP type . 2025
Data sources: DIGITAL.CSIC
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DIGITAL.CSIC
Other ORP type . 2023
Data sources: DIGITAL.CSIC
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Técnicas de Machine Learning basadas en árboles y su aplicación en Ciencias Naturales con R

Authors: Mendoza García, Manuel;

Técnicas de Machine Learning basadas en árboles y su aplicación en Ciencias Naturales con R

Abstract

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

No

Country
Spain
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Keywords

Técnicas de Machine, http://metadata.un.org/sdg/4, Ensure inclusive and equitable quality education and promote lifelong learning opportunities for all

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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).
BIP!Citations provided by BIP!
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.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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125