Classification with Naive Bayes

Good piece, behind a paywall but worth a look.  Technical.

Comparing a variety of Naive Bayes classification algorithms
Comprehensive list of formulas for text classification
Pavel Horbonos (Midvel Corp)

Naive Bayes algorithm is one of the well-known supervised classification algorithms. It bases on the Bayes theorem, it is very fast and good enough for text classification. I believe that there is no need to describe the theory behind it, nevertheless, we will cover a few concepts and after that focus on the comparing of different implementations.  .... "

Simplified Naive Bayes in One Image

Nicely done description I fired off to several people.

Naive Bayes in One Picture
Posted by Stephanie Glen in DSC

Naive Bayes is a deceptively simple way to find answers to probability questions that involve many inputs. For example, if you're a website owner, you might be interested to know the probability that a visitor will make a purchase. That question has a lot of "what-ifs", including time on page, pages visited, and prior visits. Naive Bayes essentially allows you to take the raw inputs (i.e. historical data), sort the data into more meaningful chunks, and input them into a formula.  .... '