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Reverend Bayes, Meet Countess Lovelace: Machine Learning and Programming
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| by Andy Gordon on Jan 22, 2013 |

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.

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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.