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Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.12104/110626
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DC FieldValueLanguage
dc.contributor.advisorCarrillo Castro, Fernando
dc.contributor.advisorGarcía Torales, Guillermo
dc.contributor.advisorGaeta Esparza, César Ramiro
dc.contributor.authorMaldonado Alonso, Moisés De Jesús
dc.date.accessioned2025-12-04T21:53:12Z-
dc.date.available2025-12-04T21:53:12Z-
dc.date.issued2022-11-28
dc.identifier.urihttps://wdg.biblio.udg.mx
dc.identifier.urihttps://hdl.handle.net/20.500.12104/110626-
dc.formatapplication/PDF
dc.language.isoeng
dc.publisherBiblioteca Digital wdg.biblio
dc.publisherUniversidad de Guadalajara
dc.rights.urihttps://www.riudg.udg.mx/info/politicas.jsp
dc.titleMachine Learning for Humanitarian Assistance
dc.typeTesis de Maestría
dc.rights.holderUniversidad de Guadalajara
dc.rights.holderMaldonado Alonso, Moisés De Jesús
dc.coverageZAPOPAN, JALISCO
dc.type.conacytmasterThesis
dc.degree.nameMAESTRIA EN CIENCIA DE LOS DATOS
dc.degree.departmentCUCEA
dc.degree.grantorUniversidad de Guadalajara
dc.rights.accessopenAccess
dc.degree.creatorMAESTRO EN CIENCIA DE LOS DATOS
dc.contributor.directorLópez Martín, Cuauhtémoc
dc.contributor.codirectorJiménez Meza, Ana Rosa
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