F# and Machine Learning: a winning combination

A session at NDC Oslo 2014

Friday 6th June, 2014

9:00am to 10:00am (CET)

While Machine Learning practitioners routinely use a wide range of tools and languages, C# is conspicuously absent from that arsenal. Is .NET inadequate for Machine Learning? In this talk, I'll argue that it can be a great fit, as long as you use the right language for the job, namely F#.
F# is a functional-first language, with a concise and expressive syntax that will feel familiar to data scientists used to Python or Matlab. It combines the performance and maintainability benefits of statically typed languages, with the flexibility of Type Providers, a unique mechanism that enables seamless consumption of virtually any data source. And as a first-class .NET citizen, it interops smoothly with C#. So if you are interested in a language that can handle both flexible data exploration and the pressure of a real production system, come check out what F# has to offer

About the speaker

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Mathias Brandewinder

Figuring out things, one model at a time.

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NDC Oslo 2014

Norway Norway, Oslo

2nd6th June 2014

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Time 9:00am10:00am CET

Date Fri 6th June 2014

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