Other Seminar

Machine Learning and Pattern Recognition

Clay Scott

Associate Professor
University of Michigan - Dept. of EECS
Friday, October 05, 2012
12:30pm - 1:30pm
1311 EECS

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EECS 500 Seminar

About the Event

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 pattern recognition, perhaps the most fundamental problem in machine learning. Pattern recognition 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.

Additional Information

Contact: Ann Pace

Phone: 763-5022


Sponsor(s): University of Michigan

Open to: Public