CSci 574 Class Lecture / Help Session Tuesday 11/19/2024

This week we will start the part of the course where we switch over to looking at unsupervised learning. Up until this point in the course we have been discussing supervised learning, where we create an estimator of a regression or classification problem to try and make predictions of new data.
Unsupervised learning can be used to discover inherent structure in a set of data. We will look at dimensionality reduction (through project) this week, and also look at data clustering, the two most used types of unsupervised learning.
0:00:00 - Unit 13 Dimensionality Reduction and Principal Component Analysis (PCA)