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Thursday, November 20 • 11:45 - 12:40
Evelina Gabasova - Analysing social networks with F# (Slides)

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Online social media connect us all. How can we use the information that is hidden in our social networks? For example, do you know who is your most influential follower on Twitter?

We will work through the whole social network analysis: from downloading connections using Twitter REST-based API, to implementing our own PageRank algorithm which finds the most central followers. In the process, you’ll learn how F# type providers give an easy access to data from JSON files and much more, and how we can use them to harness the power of the statistical language R to run some machine learning algorithms.

At the end, you’ll know how to run your own social network analysis on Twitter and how to use data science tools to find out more about your followers.

avatar for Evelina Gabasova

Evelina Gabasova

Evelina is a machine learning and data science enthusiast. She studied computational statistics and machine learning at University College London and currently she is finishing her PhD at Cambridge University in bioinformatics and statistical genomics. | | 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... Read More →

Thursday November 20, 2014 11:45 - 12:40
4. Zeta

Attendees (31)