The key idea behind the probabilistic framework to machine learning is that learning can be thought of as inferring plausible models to explain observed data. A machine can use such models to make ...

The overarching learning goal of this class is to create an appreciation for the tight interplay between mechanism, sensor, and control in the design of intelligent systems. This includes (1) formally ...