Resources for working with Machine Learning in F# [closed]

There isn’t a single place to look for resources on F# and machine learning, but here are a couple of links that may be quite useful:

  • Numerical Computing section on MSDN is a good resource on using various numerical libraries from F#. The most advanced library that implements linear algebra and other algorithsm useful in machine learning is Math.NET Numerics.

  • Visualizing Data section on MSDN has some resources on charting in F#. The FSharpChart library is now maintained by Carl Nolan who regularly posts updates to his blog.

There are also a few personal pages of people who are working on relevant topics:

  • Jurgen van Gael (who did PhD in machine learning) contributed to the Math.NET library and you can read about his experience here.

  • Yin Zhu who wrote the Numerical Computing chapter on MSDN (and is a PhD student interested in machine learning) has quite a few excellent articles on his blog.

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