Jan-Willem van de Meent

Courses

  • CS 7140 Advanced Machine Learning [Spring 2018]

    This course covers Bayesian methods for probabilistic modeling and inference. The topics covered are on the advanced end of the spectrum of those found in machine learning textbooks.

  • CS 6220 Data Mining Techniques [Spring 2017, Fall 2016]

    This graduate-level course covers topics in unsupervised learning and data mining.

Tutorials

  • Summer 2016, PPAML Summer School on Probabilistic Programming [bitbucket]

    This 5 day course, taught with Frank Wood and Brooks Paige, provides an intoduction to generative modeling, inference, and functional programming in Clojure, and probabilistic programming in Anglican.