Dr Evelina Gabasova is a machine learning and data science researcher. She works as Principal Research Data Scientist at The Alan Turing Institute, the UK's national institute for data science and artificial intelligence. She is a member of the research engineering team where she is connecting academic research with real-world applications. Her passion is to make data science understandable and accessible to everyone. When not wrangling data or training machine learning models, she is an active member of the F# community, Microsoft MVP and a technical speaker.
When you hear terms like data science and artificial intelligence, you probably imagine fitting fancy mathematical models to data. Well, this is only the tip of the metaphorical iceberg of data science. In practice, it is also the part that ultimately amounts to calling a one line function from some library. The part of the iceberg hiding underwater is all the work that's required to get to the actual model fitting stage. This is the area where F# really shines for me. Since joining the UK's national centre for artificial intelligence, I have used F# successfully in several projects. In this talk, I will show you some of the practical cases where F# has been instrumental in solving real-world problems with real-world data.