Is it the same class though, as the one in 2008? And if you watched the lectures available so far, did you think they're a good choice for supplementing the ml-class.org's lectures? I was thinking about starting on the 2008 lectures for that exact purpose.
this is the the same class. having taken it last year (and taking Stanford's version of ml-class), this is a great choice for a more thorough exploration of the (mathematically) finer points of the methods covered in ml-class.
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.
Why are the only two choices Silverlight or Flash? In this day and age there is no reason to be putting up Internet video that mobile devices can't access, especially if the Silverlight/Flash player is just wrapping a H.264 stream.
We like comments that promote thoughtful discussion about the article or the subjects they are about. The grandparent comment is not a good comment when judged by this standard. It is not really related to the subject at hand and if it actually did start discussion it would be a hindrance and distraction.
If it had not been the bottom comment already I would have probably downvoted it for these reasons.
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=...