I'm currently following Andrew Ng's machine learning course on Coursera. I was initially a bit concerned because it's been a long time since I've had to do any

I'm currently following Andrew Ng's machine learning course on Coursera. I was initially a bit concerned because it's been a long time since I've had to do any serious math, but I think he strikes a really nice balance between enough math to understand what the algorithms do, and not so much that you get scared away by too much depth or too many concepts at once. The practical assignments also have this nice balance. I highly recommend it -- if you can remember the basics of algebra and calculus (I mean really the basics, like that if you differentiate the equation of a straight line then it gives you the tangent of the line), then you will probably not get too lost. The programming assignments also give you that nice practical experience: you get training sets to code and run ML algorithms against, using a language (Octave) that has a nice mix of low/high level-ness. I strongly recommend it.