Show simple item record

dc.contributor.advisorRuiz Cárdenas, Eduardo
dc.contributor.authorGarcia Ortiz, Oscar Andres
dc.date.accessioned2021-12-24T04:09:31Z
dc.date.available2021-12-24T04:09:31Z
dc.date.issued2021-06-12
dc.identifier.urihttp://hdl.handle.net/10654/39730
dc.description.abstractEl 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.spa
dc.description.tableofcontentsINTRODUCCION HISTORIA CONCLUSIONES BIBLIOGRAFIAspa
dc.format.mimetypeapplicaction/pdfspa
dc.language.isospaspa
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.titleAplicación del sistema de Machine Learning para aumentar la eficiencia de las organizacionesspa
dc.rights.accessrightsinfo:eu-repo/semantics/openAccessspa
dc.rights.accessrightshttp://purl.org/coar/access_right/c_abf2*
dc.subject.lembAPRENDIZAJE AUTOMATICO (INTELIGENCIA ARTIFICIAL)spa
dc.subject.lembEFICIENCIAspa
dc.subject.lembADMINISTRACION DE EMPRESASspa
dc.type.localTesis/Trabajo de grado - Monografía - Pregradospa
dc.description.abstractenglishThe 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.spa
dc.title.translatedApplication of the Machine Learning system to increase the efficiency of organizationsspa
dc.subject.keywordsMachine Learningspa
dc.publisher.programAdministración de Empresasspa
dc.creator.degreenameAdministrador de Empresasspa
dc.description.degreelevelPregradospa
dc.publisher.facultyFacultad de Ciencias Económicasspa
dc.type.driverinfo:eu-repo/semantics/bachelorThesisspa
dc.rights.creativecommonsAttribution-NonCommercial-NoDerivatives 4.0 Internationalspa
dc.relation.referencesApolloni, B., Ghosh, A., Alpaslan, F., & Patnaik, S. (2005). Machine learning and robot perception (Vol. 7). Madrid: Springer Science & Business Media.spa
dc.relation.referencesCleophas, T., Zwinderman, A., & Cleophas, H. (2013). Machine learning in medicine. Springer, Dordrecht. doi:https://doi.org/10.1007/978-94-007-6886-4_1spa
dc.relation.referencesDe la Hoz Domínguez, E. J., Fontalvo Herrera, T. J., & Mendoza Mendoza, A. A. (1 de enero de 2020). Dialnet. Obtenido de Dialnet: https://dialnet-unirioja-es.ezproxy.umng.edu.co/servlet/articulo?codigo=7799043spa
dc.relation.referencesEl Naqa, I., & Murphy, M. (2015). What is machine learning? Machine learning in radiaton oncology, 3-11. doi:https://doi.org/10.1007/978-3-319-18305-3_1spa
dc.relation.referencesGong, Y., & Xu, W. (2007). Machine learning for multimedia content analysis (Vol. 30). New York: Springer Science & business media.spa
dc.relation.referencesGyörfi, L., Ottucsák, G., & Walk, H. (2012). Machine learnig for Financial engineering (Vol. 8). London: World Scientific.spa
dc.relation.referencesleyva, j. a. (30 de agosto de 2018). news media. Obtenido de https://www.ipade.mx/2018/08/30/machine-learning-y-su-importancia-en-la-actualidad/spa
dc.relation.referencesMohri, M., Rostamizadeh, A., & Talwalkar, A. (2018). Foundations of machine learning. Massachusetts: MIT press.spa
dc.relation.referencesL. Kanuru, A. K. Tyagi, A. S. U, T. F. Fernandez, N. Sreenath and S. Mishra, "Prediction of Pesticides and Fertilizers using Machine Learning and Internet of Things," 2021 International Conference on Computer Communication and Informatics (ICCCI), 2021, pp. 1-6, doi: 10.1109/ICCCI50826.2021.9402536spa
dc.relation.referencesA. A. Neloy, S. Alam, R. A. Bindu and N. J. Moni, "Machine Learning based Health Prediction System using IBM Cloud as PaaS," 2019 3rd International Conference on Trends in Electronics and Informatics (ICOEI), 2019, pp. 444-450, doi: 10.1109/ICOEI.2019.8862754.spa
dc.relation.referencesHo IMK, Cheong KY, Weldon A (2021) Predicting student satisfaction of emergency remote learning in higher education during COVID-19 using machine learning techniques. PLoS ONE 16(4): e0249423. https://doi.org/10.1371/journal.pone.0249423spa
dc.relation.referencesD. Boughaci and A. A. K. Alkhawaldeh, "Enhancing the security of financial transactions in Blockchain by using machine learning techniques: towards a sophisticated security tool for banking and finance," 2020 First International Conference of Smart Systems and Emerging Technologies (SMARTTECH), 2020, pp. 110-115, doi: 10.1109/SMART-TECH49988.2020.00038.spa
dc.relation.referencesVallejos, S., Alonso, D.G., Caimmi, B. et al. Mining Social Networks to Detect Traffic Incidents. Inf Syst Front 23, 115–134 (2021). https://doi.org/10.1007/s10796-020-09994-3spa
dc.relation.referencesE. J. De la Hoz Domínguez, T. J. Fontalvo Herrera, y A. A. Mendoza Mendoza, «Aprendizaje automático y PYMES: Oportunidades para el mejoramiento del proceso de toma de decisiones», Investigación e Innovación en Ingenierías, vol. 8, n.º 1, pp. 21-36, ene. 2020.spa
dc.subject.proposalAprendizaje Automaticospa
dc.description.abstractotherLe 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.spa
dc.publisher.grantorUniversidad Militar Nueva Granadaspa
dc.type.coarhttp://purl.org/coar/resource_type/c_7a1f*
dc.type.hasversioninfo:eu-repo/semantics/acceptedVersionspa
dc.identifier.instnameinstname:Universidad Militar Nueva Granadspa
dc.identifier.reponamereponame:Repositorio Institucional Universidad Militar Nueva Granadaspa
dc.identifier.repourlrepourl:https://repository.unimilitar.edu.cospa
dc.rights.localAcceso abiertospa
dc.coverage.sedeCalle 100spa


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record

http://creativecommons.org/licenses/by-nc-nd/4.0/
Except where otherwise noted, this item's license is described as http://creativecommons.org/licenses/by-nc-nd/4.0/