This 3-part tutorial addresses a machine learning audience, not assumed to be familiar with measure theory or the theory of stochastic processes. The course is intended to provide (1) an overview of what nonparametric Bayesian models exist beyond those already used in machine learning, and (2) a basic understanding of the mathematical construction of ''process'' models, both existing ones and new