PSC 440 (Advanced Machine Learning) is a course I completed at UBC. The course focused on machine learning from a probabilistic standpoint. The final deliverable for the course is paper detailing an experiment of our choice done to explore the field of machine learning. It was taught by Professor Danica Sutherland. The course website provides the following description of the course content:
This course is intended as a second or third university-level course on machine learning, a field that focuses on using automated data analysis for tasks like pattern recognition and prediction. The class is intended as a continuation of CPSC 340 (also called 540, or previously 532M); it will assume a strong background in math and computer science. Topics will (roughly) include deep learning, generative models, latent-variable models, Markov models, probabilistic graphical models, and Bayesian methods.
You can find my report here:
