ECE 50024: Lecture Videos

I recorded a new set of videos in Spring 2023 for distant-learning students. They are exclusively available to students enrolled in the course. Please check Brightspace for those videos. The videos below are recorded in Spring 2020. They should give a rough idea of how the course was like.

Part 1 Mathematical Background

Objective: Understand components of a machine learning pipeline through the case study of linear regression

Part 2 Supervised Learning

Objective: Understand the principles behind commonly used supervised learning methods

Part 3: Learning Theory

Objective: Understand the theoretical limits of machine learning algorithms

Part 4: Robust Machine Learning

Objective: Understand the robustness of machine learning algorithms