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Let's dive together into the the world of Star Wars! This talk will use the force of F# to process publicly available datasets relating to the Star Wars movies to find out who's the most important character in the stories and why were the prequels so unsuccessful. On the way, you'll see why F# is a great language for data science - from preprocessing the data to visualizing them - and you'll also learn how you can use similar data processing pipelines to get interesting insights from your own data.
The Call for Papers is now open for F# eXchange 2017! Submit your talk for the chance to join a stellar line-up of experts on stage. Find out more.
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Evelina is a machine learning researcher working in bioinformatics, trying to reverse-engineer cancer at University of Cambridge. When not at work, she likes to play with fun datasets to extract interesting insights.