Uso del aprendizaje de máquina en diferentes sectores industriales

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dc.contributor.advisorVillamizar Estrada, Avilio
dc.contributor.authorDuarte Vargas, Ciro Adrian
dc.contributor.authorCastillo Marquez, David
dc.coverage.spatialCúcutaspa
dc.creator.emailciroadrian8@gmail.comspa
dc.creator.emaildavid-castillom@unilibre.edu.cospa
dc.date.accessioned2024-10-15T15:36:44Z
dc.date.available2024-10-15T15:36:44Z
dc.date.created2024-10-09
dc.description.abstractEn la actualidad, la confiabilidad y eficiencia de las empresas están estrechamente relacionadas con su capacidad para resolver problemas de manera efectiva. El aprendizaje automático (Machine Learning) ha emergido como una herramienta clave para lograr esta eficiencia, facilitando la optimización de procesos en una variedad de sectores industriales. El artículo explora cómo el aprendizaje automático está revolucionando múltiples industrias al mejorar la automatización de tareas, el análisis de datos y la toma de decisiones. Al integrar inteligencia artificial (IA) y redes neuronales artificiales (Artificial Neural Networks), el aprendizaje automático está contribuyendo significativamente a la creación de procesos más eficientes y adaptativos, avanzando así hacia la Industria 4.0. Además, el artículo presenta varios casos de éxito donde el aprendizaje automático ha sido esencial para alcanzar mejoras destacadas en diferentes sectores. Estos ejemplos demuestran el impacto positivo de esta tecnología en la optimización de operaciones y en la capacidad de las empresas para adaptarse y prosperar en un entorno cada vez más digitalizado.spa
dc.description.abstractenglishCurrently, the reliability and efficiency of companies are increasingly tied to their ability to solve problems effectively within their respective sectors. Machine Learning has emerged as a crucial tool to achieve this efficiency, driving process optimization across various industrial sectors. The article highlights how machine learning is transforming multiple industries by enhancing task automation, data analysis, and decision-making. By leveraging artificial intelligence (AI) and artificial neural networks, machine learning facilitates the creation of more efficient and adaptive processes, significantly contributing to the evolution towards Industry 4.0. The article also presents several success stories where machine learning has been fundamental in achieving notable improvements in different sectors. These examples illustrate the positive impact of this technology on optimizing operations and enhancing the ability of companies to adapt and thrive in an increasingly digitalized environment.spa
dc.description.sponsorshipUniversidad Libre - Facultad de Ingenierías - Ingeniería en Tecnologías de la Información y las Comunicacionesspa
dc.formatPDFspa
dc.identifier.urihttps://hdl.handle.net/10901/30203
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dc.rights.accessrightsinfo:eu-repo/semantics/openAccessspa
dc.rights.coarhttp://purl.org/coar/access_right/c_abf2spa
dc.rights.licenseAtribución-NoComercial-SinDerivadas 2.5 Colombiaspa
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/2.5/co/spa
dc.subjectredes neuronales artificialesspa
dc.subjectaprendizaje profundospa
dc.subjectinteligencia artificialspa
dc.subjectaprendizaje automáticospa
dc.subjectindustria 4.0spa
dc.subject.lembIndustriaspa
dc.subject.lembMachine Learningspa
dc.subject.subjectenglishartificial neural networkspa
dc.subject.subjectenglishdeep learningspa
dc.subject.subjectenglishartificial intelligencespa
dc.subject.subjectenglishmachine learningspa
dc.subject.subjectenglishindustry 4.0spa
dc.titleUso del aprendizaje de máquina en diferentes sectores industrialesspa
dc.title.alternativeUse of Machine Learning in different industrial sectorsspa
dc.type.coarhttp://purl.org/coar/resource_type/c_7a1fspa
dc.type.driverinfo:eu-repo/semantics/bachelorThesisspa
dc.type.hasversioninfo:eu-repo/semantics/acceptedVersionspa
dc.type.localTesis de Pregradospa

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