This is a popular undergrad course at Berkeley. To be clear, it's mostly focused on GOFAI (good old fashioned AI) - things like tree/graph search, constraint sa

This is a popular undergrad course at Berkeley. To be clear, it's mostly focused on GOFAI (good old fashioned AI) - things like tree/graph search, constraint satisfaction, logic, some basic graphical models, and a bit of RL/ML at the end. It's useful to know about (because these things sometimes show up as components of ML systems), but also fairly disjoint from the core machine learning field that people are undoubtedly interested in.