Before getting started with Machine Learning in F# Interactive it’s best to prepare it for large datasets and external 64-bit libraries so you don’t get blindsided with strange errors when you happen to cross the line. The good news is it’s a simple process that should only take a few minutes. The first step is [...]

Big data is the buzzword de jour, and why not?  Companies like Google with huge server farms are doing amazing things leveraging huge amounts of data and processing power.  It’s all very sexy but these researchers get to pick and choose the data they work with.  They can maximize their research gains by pushing the [...]

As of today I’ve completed my fifth course at Coursea, all but one being directly related to Machine Learning. The fact that you can now take classes given by many of most well known researchers in their field who work at some of the most lauded institutions for no cost at all is a testament [...]

What do you do with a drunken coder, What do you do with a drunken coder, What do you do with a drunken coder, Ear-ly in the morning? Put em’ on the build and make em fix it, Put em’ on the build and make em’ fix it, Put em’ on the build and make [...]

Levenshtein distance is one of my favorite algorithms. On the surface it seems so very simple, but when you spend some time thinking hard on it deep insights are waiting to be had. The first and most important thing about Levenshtein distance is it’s actually a metric distance. That is, it obeys the triangle inequality. [...]