Machine learning courses again

I may live to regret this (like I did in 2012), but I'm taking another stab at the MOOG machine learning courses. Well, the Stanford one at Coursera, anyway, but maybe I'll take another run at the Caltech one as well, after I'm done.

Some links, to keep them in a convenient place. Some are useful for actually doing the classes, some for understanding the math, and some ideas for what to do after the course, in no particular order.

• Main Coursera page for the course
• A decent presentation of the math behind least squares
• Partial derivative in gradient descent
• Coursera Wiki
• Deep Learning Tutorial at Stanford [hnn]
• Caltech's Learning from data course

So. Machine learning.

Update 2016-01-09: Unsurprisingly, I didn't have time for the Coursera run. Did break my word count record for 2015, though.