Finally I finished the Machine Learning Video Lecture Series for CS229 taught by Dr. Andrew Ng, Assist Professor at Stanford University, on YouTube.  The course was excellent – it is broken into four sections :

• Supervised Learning,
• Learning Theory,
• Unsupervised Learning, and
• Reinforcement Learning.

The course materials on the website are excellent supplemental materials.  The problem sets does require the use of MATLAB (or the public domain version).  The course materials include sample practice midterm test.  The only weak spot is the Lecture Notes for Reinforcement Learning are brief and did not cover all material in the Lectures.   In addition, the references for additional provided by Dr. Ng are good since you can research additional information on a specific topic.  The material in this course is fairly current.  I recommend this course to anyone seriously interested in machine learning.