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dc.contributor.authorBaker, Lauren
dc.date2020
dc.date.accessioned2023-11-22T01:20:07Z
dc.date.available2023-11-22T01:20:07Z
dc.identifier.urihttps://hdl.handle.net/11124/178563
dc.identifier.urihttps://doi.org/10.25676/11124/178563
dc.descriptionThe author is also known as Zoe Baker.
dc.description.abstractMachine learning uses automated statistical models and algorithms to investigate patterns and form inferences from data. As a part of the Machine Learning, Informatics, and Data Science team at Mines (MInDS@Mines), one of our core focuses is the development and application of machine learning algorithms to human health conditions whose mechanisms are not well understood. Thus, our interest in the human microbiome is centrally motivated by the microbiome's connection to health conditions.
dc.format.mediumarticles
dc.languageEnglish
dc.language.isoeng
dc.publisherColorado School of Mines. Arthur Lakes Library
dc.relation.ispartofReuleaux 2020
dc.rightsCreative Commons CC-BY License or the Creative Commons CC-BY-NC License.
dc.titleMachine learning to investigate the relationship between nutrition and gut biome
dc.typeText
dc.publisher.originalColorado School of Mines. Reuleaux Undergraduate Research Journal


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