This is a fairly mathematically intensive class that covers a lot of the theoretical background to decision theory and statistics. I would go into more detail here, but actually Prof. Amini makes all materials (including lecture videos) available on his own page here: http://www.stat.ucla.edu/~arashamini/teaching/200b-w23

Being an ECE major with an ML background, I found the class quite challenging, but also enjoyable as I felt it provided a deeper understanding of the relationship between data and the estimators (models). That said, the class is fairly abstract so it is more useful to someone who is interested in ML theory papers than implementation-focused ones. Regarding the lectures, I sometimes found Prof. Amini a bit difficult to understand as he soft-spoken, but as he records his lectures I could re-watch those moments again later.