Evelina is a data scientist, machine learning researcher, and an avid conference speaker.
Currently she does most of her programming in R and F#, and she got awarded the Microsoft MVP award for her work in the F# community. She originally started as a programmer but got interested in machine learning early on and did a mathematics PhD at the University of Cambridge, developing new machine learning methods to analyze complex biomedical datasets.
After that she worked on data analysis in cancer research and now she’s joining the Alan Turing Institute as a data scientist.
Let's dive together into the the world of Star Wars! We'll use the force of F# to process publicly available datasets relating to the Star Wars movies and we'll 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.Slides