Other Event


Clay ScottAssociate ProfessorUniversity of Michigan, Department of EECS

Machine learning is the study of patterns in large, complex data sets, with the goal of making quantitative predictions and inferences about those patterns. In this talk, I will discuss Classification, perhaps the most fundamental problem in machine learning. Classification is the problem of classifying a measured pattern into one of a finite number of classes, leveraging known examples of each class. I will overview basic methodological and theoretical issues in pattern recognition.

Sponsored by


Faculty Host

Raj Nadakuditi