Progress Report – Q1 2009

This is another progress report of my AI journey.  The top posts for the past quarter as follows:

• Wumpus World
• Stanford CS229 Class
• About
• What is Machine Learning?
• AIMA Part IV Acting Logically
• Progress Report – December 2008
• Logic, Programming and Prolog

Jan-Feb Wrap Up

Basically, I have been focusing on Probability and Statistics since I need a better grasp on this area of mathematics and its application to Machine Learning, in particular Bayesian Inference.  I am familiar with Bayes Theorem, but I am not familiar with Bayesian Belief and Markov Belief Networks, a topic covered in Judea Pearl’s book Probabilistic Reasoning in Intelligent Systems: Networks of Plausible Inference.

I reviewing some other video lectures in Stanford University’s YouTube such as CS106A Program Methodology taught by Professor Mehran Sahami.  In addition I have reviewing a couple of MIT OpenCourse courses such as Introduction to Probability and Statistics, and Mathematics for Computer Science.