University of Cambridge > Talks.cam > Microsoft Research Cambridge, public talks > FsLab: Doing data science with F#

FsLab: Doing data science with F#

Add to your list(s) Download to your calendar using vCal

If you have a question about this talk, please contact Microsoft Research Cambridge Talks Admins.

This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending

How to get knowledge from data? We need to access CSV files and REST services, combine the data while handling missing values, try different analyses and machine learning algorithms and then build visualizations to make our point. We need to explore data interactively, but end up with reproducible scripts that can be easily deployed in production.

I’ll demonstrate end-to-end data analysis using FsLab – a cross-platform set of data science libraries and tools based on F# that make it easy to perform the entire process with a single tool. Type providers turn external data sources into inherent part of your language; integration with tools like R gives you immediate access to professional packages and HTML5 -based visualization tools produce beautiful results.

Along the way, we’ll explore correlations between countries using the WorldBank, we’ll look at survival rate of different passengers on Titanic and we’ll look how different political parties contribute to country’s debt.

This talk is part of the Microsoft Research Cambridge, public talks series.

Tell a friend about this talk:

This talk is included in these lists:

Note that ex-directory lists are not shown.

 

© 2006-2024 Talks.cam, University of Cambridge. Contact Us | Help and Documentation | Privacy and Publicity