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dc.contributor.authorFeltenberger, David
dc.date.accessioned2022-05-18T15:00:04Z
dc.date.available2022-05-18T15:00:04Z
dc.date.issued2022-08
dc.identifier.citationFeltenberger, D. (2022, Fall). COM4010: Machine Learning Applied. Yeshiva College, Yeshiva University.en_US
dc.identifier.urihttps://hdl.handle.net/20.500.12202/8189
dc.descriptionYC course syllabus / YU onlyen_US
dc.description.abstractCOM 4010 - Machine Learning Applied Data Science lies at the intersection of mathematical modeling, software engineering, Artificial Intelligence, and data management. This course is designed to provide a hands-on end-to-end perspective on data science, i.e., all the components that go in to building and deploying high quality data science solutions. 3.000 Credit hoursen_US
dc.language.isoen_USen_US
dc.publisherYeshiva College, Yeshiva Universityen_US
dc.relation.ispartofseriesYeshiva College Course Syllabi Fall 2022;COM4010
dc.rightsAttribution-NonCommercial-NoDerivs 3.0 United States*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/us/*
dc.subjectdata science applieden_US
dc.titleCOM4010: Machine Learning Applieden_US
dc.typeLearning Objecten_US
dc.contributor.orcid0000-0001-8784-9063


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Attribution-NonCommercial-NoDerivs 3.0 United States
Except where otherwise noted, this item's license is described as Attribution-NonCommercial-NoDerivs 3.0 United States