Torus Talks: Finding Underlying Structures in Big Data by Dr. Brian Franczak

November 27, 2020

These are the Math and Stats Department Torus Talks — they are meant to showcase the beauty of mathematics in a low-key and fun way.

This talk by Dr. Brian Franczak will provide a definition of machine learning and its use for solving modern statistical problems. Special focus will be on introducing the audience to classification. Distinctions between the types of classification will be explained as well as advances in handling “big data.” Modern methodologies for classifying data using the “R” programming language will be presented with practical examples.

All in the university community are invited. Torus Talks are pitched to a general university audience, all students, staff and faculty are welcome.

This event will be presented online using Zoom. Please register to attend via form to receive information on how to join the morning of the event.


Register to attend


Faculty of Arts and Science
Department of Mathematics and Statistics »

Event Details

Date November 27, 2020
Start Time 1:00 p.m.
End Time 2:00 p.m.
Location Online
Event Type Lecture/speaker/presentation
Contact Person Karen Buro
Contact Phone 780-633-3911
Contact Email
Event Website Visit Site