"Someone at work recently asked how he should go about studying machine learning on his own. So I’m putting together a little guide." Ooh, useful. Lots of starting points for machine learning in R.

"When you look at the dubstep scene you realize quickly that it’s a fairly young genre. Not in terms of its own existence as a named thing, but as a measure of the age of many of its prominent musicians. They’re of the generation that doesn’t know a world before the Nintendo Entertainment System and a lot of the music reflects that… If you had a giant Venn Diagram of dubstep and 8-bit chiptunes, you’d see a large overlap between the two. Why dubstep is particularly prone to this, more than other electronic styles, I don’t know. Maybe it has to do with its relatively lo-fi, home studio feel of the genre? … There’s a hidden, untold history there, but it’d be best told by someone that knows the genre, and its players, better than I do. In the meantime, I’ll continue enjoying it until it’s pillaged and destroyed for all its worth." Mike on the overlap between dubstep and chiptune culture.

"All artworks have been created using data from the game "Unreal Tournament". Each image represents about 30 mins of gameplay in which the computers AI plays against itself. There are 20-25 bots playing each game and they play custom maps which I create. Each map has been specially designed so that the AI bots have a rough idea of where to go in order to create the image I want. I log the position (X,Y,Z) of each bot, every second using a modification for the game, I also log the position of a death. I then run my own program written in Processing to create printable postscript files of that match."