Well the title kinda explains all there is to explain. I'm a non-cs student and was preparing to apply PhD programs in applied mathematics. But for my senior thesis I've been reading lots of machine learning and pattern recognition literature and enjoying it a lot. I've taken lots of courses with statistics and stochastics content, which I think, would help me if I get accepted to a program with ML focus, but there are only two CS courses -introduction to programming- in my transcript and therefore I decided to take the CS subject test to increase my chances. Which courses do you think would be most essential to have a good result from CS subject test? I'm thinking of watching video lectures of them, so do you have any recommendations?