November 20, 2023
Flannery Currin, University of Iowa, will be presenting "Principal Components Analysis: Making Data Digestible". Pizza provided and everyone welcome to attend!
Often, we find ourselves working with complex data with a large number of variables which need to be simplified while retaining the most important information. Principal Components Analysis (PCA) is a method for reducing the dimensionality of numerical data that attempts to minimize the amount of information lost. PCA is applied in many situations: from image compression to machine learning. In this talk, she will cover the basics of PCA and how she has used a variant of this technique to develop a set of personas describing parents' attitudes toward technology aimed at 3-8-year-old children.
Further information
- Location: Tome 115
- Time: 12:30 pm - 1:30 pm
- Cost: Free