Andrew Ng's Classroom Lectures for ML
171.64.93.201
171.64.93.201
1) CMU graduate-level machine learning class: http://www.cs.cmu.edu/~tom/10701_sp11/lectures.shtml
2) Mathematicalmonk's machine learning lectures: http://www.youtube.com/user/mathematicalmonk?blend=7&ob=...
The instructor in that course is Tom Mitchel. He wrote one of the most used texts on ML (Machine Learning, Tom Mitchell, McGraw Hill, 1997.)
Thanks for the link, by the way!
Although I'm hoping to stop doing that soon, I have been able to avoid watching many of the videos so far since they seem to be very similar to the concepts covered in the class last year. Prof. Ng's notes for this class (available at http://cs229.stanford.edu/materials.html) are also quite helpful for refreshing the finer points of algorithms.
Cause that's always the best way to get your message across.
If it had not been the bottom comment already I would have probably downvoted it for these reasons.