F#unctional Londoners, Data science with F#: Social network analysis with Evelina Gabasova, 24 September 2014, London
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? Evelina Gabasova explores these questions with F#.
In this session the fsharp crew worked through the whole process of social network analysis: from downloading connections using Twitter REST-based API, to implementing PageRank algorithms which find the most central Twitter accounts. In the process they saw how they can use F# type providers to access data and harness the power of the statistical language R to run some machine learning algorithms.
At the end, they knew how to run your own analysis on data from Twitter and how to use data science tools to gain insights from social networks.
You can see the Skillscast (film/code/slides) at skillsmatter.com/skillscasts/5672-data-science-with-fshar...
F#unctional Londoners, Data science with F#: Social network analysis with Evelina Gabasova, 24 September 2014, London
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? Evelina Gabasova explores these questions with F#.
In this session the fsharp crew worked through the whole process of social network analysis: from downloading connections using Twitter REST-based API, to implementing PageRank algorithms which find the most central Twitter accounts. In the process they saw how they can use F# type providers to access data and harness the power of the statistical language R to run some machine learning algorithms.
At the end, they knew how to run your own analysis on data from Twitter and how to use data science tools to gain insights from social networks.
You can see the Skillscast (film/code/slides) at skillsmatter.com/skillscasts/5672-data-science-with-fshar...