Evelina is a machine learning researcher working in bioinformatics and statistical genomics. She is developing mathematical models which integrate different types of genomic data to distinguish cancer subtypes.
She studied computational statistics and machine learning at University College London and currently she is finishing her PhD at Cambridge University.
Evelina has used many different languages to implement machine learning algorithms, such as Matlab, R or Python. In the end, F# is her favourite and she uses it frequently for data manipulation and exploratory analysis.
She writes a blog on F# in data science at http://www.evelinag.com.
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