[DavidMcLaughlin]

Note for anyone signing up for this who has been in industry for a while: the prerequisites for this class really are prerequisites and it can be quite difficult to follow along if you're too busy trying to get your head around the basic math. You can check out the existing lectures on iTunes U to see what I mean.

Completing the Khan Academy playlists for Linear Algebra and Probability would be pretty useful if you want to be prepared in time for October.

[sidman]

I took a look at the ones already online and downloaded them a while back. Also went through Khans stuff on the areas you mentioned after i realised i needed just a refresher on a few of the areas. After the refresher following the lectures was much easier.

I did a bachelors and a masters in comp-sci at usyd and unsw in aus, it was good but i remember not getting into the depth that the stanford lectures did so im quite excited to get back into it. Also decided to take some time of work to work on a few of my own things so got alot of time to have fun with the materials.

BTW thanks to standford for this material, its totally awesome :)

[ruggeri]

I was watching some older Andrew Ng Intro to ML lectures [1], and found Gilbert Strang's linear algebra [2] movies super useful as background. You'll definitely want to feel strong on linear algebra before taking the class.

[1] http://academicearth.org/courses/machine-learning [2] http://ocw.mit.edu/courses/mathematics/18-06-linear-algebra-...