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Have you seen many conference talks explaining machine learning algorithms? But are still unsure how can you use them in the real world? In this talk Evelina will show how she used machine learning methods to improve the user experience in a .NET web application.
As an example, Evelina will use the fssnip.net website which allows simple sharing of F# code samples. The website stores a lot of very useful code snippets, but the original version of the website lacks any search capability and organisation of the code samples is a complete mess.
In the talk, she will walk you through several machine learning algorithms for text processing that we can use to improve the website and make the code samples more accessible and usable. After this talk, you will not only better understand the principles behind several machine learning algorithms, but you will also get a good idea how you can use them in practice to build user-friendly web applications.
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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.