An Introduction to Topological Data Analysis for the Digital Humanities
LECTURE ※ 2-3pm, 28 Apr 2017 at Butler Studio (208b)
Persistent homology is a powerful tool from the field of topological data analysis that can help you understand the shape of and extract features from your high-dimensional datasets. In this workshop, Dr. Rachel Levanger will offer a friendly introduction to the subject at the conceptual level and then work through some examples. No background in mathematics is assumed.
Dr. Levanger (PhD, Rutgers U) is a is a postdoctoral researcher in the Department of Electrical and Systems Engineering at the University of Pennsylvania, specializing in topological data analysis.