Paul Meagher wrote in this morning to tell us about Part Two of his Bayesian inference using PHP article series.

In this second part, he builds on the foundation set here and provides a ton of new information for the reader to digest. He starts with the creation of some simple surveys, and works through issues like parameter estimation (and what it is), how to use it to create a MLE, the formulas to do something useful with this knowledge, and calculating probabability based on the data recieved.

Again, this article is pretty high-level stuff and has quite a bit of advanced math involved. Thankfully, just about all of the code you'll need (the meat of it at least) is there in the article...