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2012 Progressive F# Tutorials NYC: Tomas Petricek & Adam Mlocek on Adv Track - Numerical Computing with F#
Adv Track - Numerical Computing with F#
Many developers need to implement solutions which require some math or stat modelling.
In this session we will show you how F# allows us to write elegant and expressive numerical code. You will work with matrices, random number generators and linear solvers. We'll start with an overview of F# features which make it ideal for numerical development. Then, in a mixture of demos and exercises, we will implement simple Monte Carlo methods and try to fit linear regression model to a dataset. We will be using FCore math library, which you can download from www.statfactory.co.uk.
ABOUT TOMAS PETRICEK
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Tomas Petricek is a long time F# enthusiast, using F# since the early Microsoft Research versions. He has been a Microsoft C# MVP since 2004, and together with Jon Skeet wrote Real-world Functional Programming which explains basic functional concepts
More about Tomas Petricek
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ABOUT ADAM MLOCEK
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Adam is the founder of StatFactory Ltd, a company dedicated to development of high performance numerical software with F# API.
More about Adam Mlocek
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 This session took part at the 2012 Progressive F# Tutorials NYC. You can view the other 11 podcasts here.
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