#DataScience is everywhere – it’s eating the world, promising to solve all of your business problems with a little data and a lot of technology. Unfortunately, it looks like actual data science is being lost somewhere in the hype.
In part 1 I looked at building a neural network model of a batter strike zone in R. In part 2 I talked about using that model to estimate the top and bottom of that batter’s individual strike zone. At long last, this post will use that information to model an umpire strike zone, which was the whole point all along!
My full thoughts on the topic, in an article at the Hardball Times:Follow @PeterKBonney
An article of mine published at The Hardball Times today:
I know I’m biased, but I think this one is pretty fun.Follow @PeterKBonney
If you’ve ever installed MySQL on Linux, you know how easy it is. If you’ve ever installed MySQL on OS X, you know what a terrible pain-in-the-ass it is. It’s a pain whether you install the latest package directly from mysql.org, or if you install via macports. In order to actually make it work there are about a half dozen post-installation steps you need to follow, none of which are documented anywhere reasonable.