This is an amazing class. I can't recommend Professor Sankararaman enough. He is able to distill complex ideas into easy-to-understand and interesting lectures. His slides are slick, clear, and thorough. He also posted lecture videos online our year. However, I highly recommend going to class because it is really easy to fall behind if you rely on just the videos. This class is quite difficult. If this is your first machine learning class, you will have to put in a significant amount of effort to truly understand the material and get an A. Before the class starts, I recommend going over your Math 32A and 33A notes. You should be comfortable with multivariable calculus and linear algebra. You should also have taken a proper probability and statistics course beforehand. The projects and homeworks are pretty interesting. You'll be exposed to many different ML models and techniques such as decision trees, linear/polynomial regression, SVMs, PCA, boosting, HMMs, and clustering.