Andy Gordon discusses machine learning using functional programming, explaining how Infer.NET Fun turns the succinct syntax of F# into an executable modeling language for Bayesian machine learning.
Andy Gordon is a Principal Researcher at Microsoft Research Cambridge, and is a Professor at the University of Edinburgh. Andy wrote his PhD on input/output in lazy functional programming, and is the proud inventor of Haskell's ">>=" notation for monads. He's worked on a range of topics in concurrency, verification, and security, never straying too far from his roots in functional programming.
Intended to be hands-on and interactive, FP Days gives you the opportunity to share experiences with others, find out more about the latest available tools and techniques, network with your peers and have a thoroughly enjoyable experience.The event has a strong, practical focus on learning more about the principles of Functional Programming, using it effectively and exploring possibilities with current FP technologies.
Another presentation from Andy that covers TrueSkill
Here is another version of this presentation that covers TrueSkill:
Skip to just before the 30 minute mark.