Probabilistic Graphical Models with Factorie
Probabilistic graphical models model systems with inherently probabilistic, as opposed to deterministic, behaviors. The two most common model types are Bayesian networks and Markov chains. Factorie is a Scala-language toolkit for building factor graphs used in probabilistic modeling. Target applications include natural language processing. This hands-on tutorial will introduce the theoretical concepts at a conceptual level and how they apply to several example problems, which we will implement together.
This tutorial will best suit people interested in machine learning problems, such as natural language processing, advanced software developers and data analysts and scientists with SAS, R, Python, or related experience. No Scala experience will be assumed, but some prior exposure to Probabilistic Graphical Models is helpful but not required.
Level : Advanced