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When you’re stuck while programming - who you gonna call? StackOverflow! It’s an invaluable source of daily help to many. Interestingly, you can also download the entire data dump of StackOverflow and let machine learning loose on the dataset. In this talk, you will discover what you can learn from the behaviour of developers worldwide. The dataset can give you answers to many questions - where should you move to find most F#-ers? And is F# used just for hobby projects? You will explore how to answer these - and in the meanwhile you will also learn about ideas behind some machine learning algorithms that can give you insights into complex data. You will discover a combination of functional language F# with statistical computing language R to show how you can easily access and process real-world data the functional way.
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Opening Keynote: Exploring StackOverflow data with F#
Evelina is a Senior Research Data Scientist at The Alan Turing Institute, the UK's national centre for data science and artificial intelligence. She is passionate about making data science understandable and accessible to everyone. She originally started as a programmer but got interested in machine learning early on and did a mathematics PhD at the University of Cambridge. During her PhD, she worked on Bayesian models for unsupervised learning that integrate heterogeneous biomedical datasets. After that, she worked in cancer research at the MRC Cancer unit in Cambridge, where she focused on helping biologists analyse genomic data.