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In the trenches, building a machine-learning random forest classifier

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dc.contributor Abrahamian, Edmond
dc.coverage.spatial BY en_US
dc.date.accessioned 2018-10-31T09:32:35Z
dc.date.available 2018-10-31T09:32:35Z
dc.date.copyright 2018 en_US
dc.date.issued 2018-10-31
dc.identifier.uri http://hdl.handle.net/10725/9647
dc.description.abstract The Department of Computer Science and Mathematics is hosting a lecture titled: “In the Trenches: Building a Machine-Learning Random Forest Classifier” by Dr. Edmond Abrahamian, principal data scientist at AT&T in Palo Alto, CA. The lecture will examine a fundamental type of machine-learning algorithm called Random Forest. It will cover the basic theory behind it, how it works and how forests are constructed. The lecture will also examine how to build a classifier using Python and scikit-learn, a Python machine-learning mode. en_US
dc.language.iso en en_US
dc.title In the trenches, building a machine-learning random forest classifier en_US
dc.type Events en_US
dc.event.creator The Department of Computer Science and Mathematics en_US
dc.date.from 2018-10-16 en_US
dc.date.to 2018-10-16 en_US
dc.event.description Lecture en_US
dc.event.department Computer Science And Mathematics en_US
dc.event.school SAS en_US


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