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Repositorio Documental UMNG
Bachelor thesis . 2021
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Aplicación del sistema de Machine Learning para aumentar la eficiencia de las organizaciones

Authors: Garcia Ortiz, Oscar Andres;

Aplicación del sistema de Machine Learning para aumentar la eficiencia de las organizaciones

Abstract

Le document traite de l'importance de l'apprentissage automatisé ou "machine learning" dans les organisations, permettant d'optimiser les processus et de les orienter vers une réalisation efficace et claire des objectifs grâce à des systèmes automatisés.

El documento es sobre la importancia que tiene el aprendizaje automatizado o "machine learning" en las organizaciones, permitiendo optimizar los procesos y encaminarlos hacia un logro de objetivos eficiente y claro por medio de sistemas automatizados.

The document is about the importance of automated learning or "machine learning" in organizations, allowing to optimize processes and direct them towards an efficient and clear achievement of objectives through automated systems.

INTRODUCCION HISTORIA CONCLUSIONES BIBLIOGRAFIA

Pregrado

Country
Colombia
Related Organizations
Keywords

Aprendizaje Automatico, Machine Learning, EFICIENCIA, APRENDIZAJE AUTOMATICO (INTELIGENCIA ARTIFICIAL), ADMINISTRACION DE EMPRESAS

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    popularity
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    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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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!
0
Average
Average
Average
Green