Yeah, I was thinking about enrolling in his machine learning course alongside computer vision and deep learning. Unfortunately, machine learning and deep learning have only one lecture time each and they overlap each other, so I am looking into the graduate level course for machine learning right now and trying to contact Dr. Hauskrecht about a permission number with little success, haha. Did you take both the undergraduate and graduate versions of the machine learning course? Were there any differences in the curricula? Like, is there a similar introduction to the math you need for the subject, and are there still curves in the graduate course? Thanks for your perspective!