Tweet This excellent book by Steve Krug was a real eye opener when I chanced upon it a few years ago. I’m not a UI/UX designer by trade or by training, and as a backend developer my appreciation for UI/UX has very little outlet in my day-to-day job either. But still I find plenty of

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...]