The event will cover two main parts:

1. Bayesian Classification: a mathematical explanation will be given of this technique. One topic covered will be text classification as it pertains to content recommendation.

2. Software Demo: Apache Mahout is a software package that can be used for Bayesian Classification. Rani's demo will be similar to the following:

https://cwiki.apache.org/confluence/display/MAHOUT/Twenty+Newsgroups

Rani has sent over a link to an improved version of the above example.
https://github.com/nelken/Mahout-example/

Here is a just another link that speaks to MatLab and Octave which is the software used in the Stanford Online ML course.

http://people.csail.mit.edu/jrennie/20Newsgroups/

https://www.coursera.org/course/ml

*. An additional short Mahout Tutorial is looking less likely for this event.  Though if you are interested in helping with the development of a tutorial for a future workshop, then please let me know.  Also, please note that the Hadoop group looks to have Ted Dunning as a speaker soon.

http://www.meetup.com/bostonhadoop/

Please note the talk will be on the 10th floor; the entrance is on the 11th floor, and then down a staircase.