Probabilistic graphical models are a powerful technique for handling uncertainty in machine learning. The course will cover how probability distributions can be represented in graphical models, how ...

This courses introduces causal inference methods, primarily using probabilistic graphical models, to identify and estimate counterfactual quantities as functions of observational data. We will discuss ...

Of the 10,000 patent models held in this Museum, some 400 models are housed in and relate to the Graphic Arts Collection. These include models prepared for the printing, type, paper, and bookbinding ...