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dc.contributor.advisorGiabbanelli, Philippe J.
dc.contributor.advisorLevar Wegner, Alia
dc.contributor.authorNieto, Andrew
dc.contributor.authorSandy, Jacob
dc.contributor.authorLaycock, Kyle
dc.contributor.authorD’Amico, Christian
dc.date.accessioned2020-05-16T21:09:13Z
dc.date.available2020-05-16T21:09:13Z
dc.identifier.urihttp://hdl.handle.net/2374.MIA/6619
dc.description.abstractWhen machine learning is mentioned in the news, it is rarely in the context of historical artifacts. Often, the public learns about what machine learning promises through news about optimizing workflows, improving trading algorithms, or even changing health outcomes for patients. However, this project demonstrates that machine learning techniques and tools can be used to develop new insights and collect new information on historical artifacts such as the Bowden Postcard Collection at Miami University.en_US
dc.titleThe Application of Machine Learning to Digitized Postcards as Artifactsen_US
dc.typeOtheren_US
dc.date.published2020


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