This is neat! Fantastic, even! The math is less theoretical and more systems oriented. The choice of python, modern psuedocode that runs, is great, too. The nai

This is neat! Fantastic, even! The math is less theoretical and more systems oriented. The choice of python, modern psuedocode that runs, is great, too. The naive Bayes chapter is useful, too. One might want to look at Udacity's AI course for more info about this topic or as a supplement. Bayes seems to be one of those things where the math is short and difficult; I've been reading about it recently, myself. Just practice, I guess. To engineer stuff with it you may not need to understand it perfectly (until you get bugs ;). Anyways, it's still good. It's a hard topic and Bayes law/tricks appear in AI often so it's worth knowing more about. Thank you, Ron Zacharski! (disclaimer: you do not want my opinion regarding any topic).