Machine Learning is the art of writing programs that get better at performing a task as they gain experience, without being explicitly programmed to do so. Feed your program more data, and it will get smarter at handling new situations.
In this session, we'll learn about the Naive Bayes classifier, and take a classic Machine Learning problem, recognizing Spam from Ham.
This session will be organized as an interactive workshop. Come over, write some code, and learn yourself a F# and Machine Learning for great good! No prior experience with Machine Learning required, and F# beginners are very welcome - it will be a great opportunity to see F# in action, and why it's awesome.
To get the most from the session, please try and bring a laptop along with F# installed (ideally either MonoDevelop or Visual Studio Web Express/Full Edition). Check out fsharp.org for instructions on how to get F# ready on your machine.
Courtesy of our awesome sponsor ThoughtWorks, we'll have some food available.