I am glad that I attended the Data Scince Nashville Meetup, Mining the Social Web: Data Mining Facebook, Twitter, LinkedIn, Google+,and More lecture by Matthew A. Russell. Matthew talked about his book which is about acquiring, analyzing, and summarizing the social webs like Twitter, LinkedIn, Facebook, and so on. He also answered a lot of questions about his career in Data Science.
I also like how he explained the Data Science field with this Venn Diagram.
The book recommends Python and (very cool) iPython Notebook. You can find the book material and Python code here https://github.com/ptwobrussell/Mining-the-Social-Web-2nd-Edition.
However, I am learning F# and would like to learn more about Data Science, so I think it would be great to implement the code from the book using F# instead :-).
Learn more about using F# for Data Science at Using F# for Data Science at The F# Software Foundation site
Let's start with Mining Twitter
##Credits & Links
- Matthew A. Russell, the author of Mining the Social Web: Data Mining Facebook, Twitter, LinkedIn, Google+,and More
- Don Syme and people at Microsoft for F# :-).
- Joe Mayo for his awesome LINQ to Twitter
- Using F# for Data Science
- Visualizing Data in a Grid
- FSharp.Charting
- iPython Notebook for Mining the Social Web