By now most of us have a rough idea of what ML is all about, right? Good, but what do we do when ML, alone, just doesn't cut it, when there's either too many variables, or their starting values are non deterministic? Well that's a question we'll answer in this talk - we'll also have some fun as we use what we learn to try to predict the winner of a horse race run during the talk.