This session will introduce Machine Learning topics via a selection of data sets culminating with predicting BitCoin prices! We will use the awesome Tsunami IDE scripting environment to give us quick feedback, visualizations and even integration with Excel. Along the way we will pick enough F# to apply basic machine learning techniques.
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Matthew Moloney heads up Earthquake Enterprises, creators of the Tsunami IDE. He has worked as an Applied Researcher at Microsoft Research, Cambridge on Big Data tooling and at eBay on Hadoop cluster tooling used for Big Data Analytics.
Phil is an active member of the software development community, regularly attending and speaking at user groups and conferences, blogging and contributing to open source projects. He is a co-organizer of the London F# User Group and a founding member of the F# Foundation.