In our previous post, we looked at James McCaffrey’s code, “Gradient Descent Training Using C#” from MSDN magazine, and took a stab at rewriting the first part in F#, to clarify a bit the way the dataset was created. Today, we’ll dive in the second block, which implements the logistic regression using gradient descent. Again, we won’t discuss why the algorithm works – the article does a pretty good job at that – and focus instead purely on the F# / C# conversion part. Let’s begin by taking a look at the c[...]

Did you know there was more to the type matching operator than just pattern matching and exception handling?

In recent weeks we had been busy with a series of enhancements to the WebSharper website and some underlying FPish services. [more...]

Since I submitted my PhD thesis in December, I had a little bit of time to finish some of the things that I wanted to do for a really long time, but never quite found time to actually do them. This included getting the R provider to work on Mac and also creating a new web site for my various functional programming trainings and books. I even have a nice domain name: www.functional-programming.net The page also discusses a couple of business reasons for looking into functional programming. So, if [...]