Grad Seminar - TechTalk: Machine Learning

January 17, 2020 - 12:30 PM to 1:30 PM
Woodward 106

“Square Peg, Round Hole, and a Hammer: Improperly Predicting Human Behavior” - Andrew Vlasic, Ph.D. (Data Scientist at BofA)

Abstract
We will go through the logical restrictions of classical probability theory in its applications on predicting human behavior and describe a logical system that is not as restrictive but complete and stable enough to be applied to more accurately predict behavior.
 
Bio
Dr. Vlasic received Ph.D. from the University of Illinois at Urbana-Champaign in Mathematics.  His research focus includes formal logic, general probability theory, applications of non-commutative spaces to existing machine learning methods.  He was an Acting Funding officer at Army Research Office overseeing the Probability and Statistics program.  He is current a Data Scientist at Bank of America.
 
Organizer: Min Shin
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