- CS188.1x - Artificial Intelligence through edX. The class is taught by Dan Pieter from Stanford. It's an excellent class. I enjoyed it a great deal, and learned a lot of things about machine learning that I just didn't pick up from the vision-based classes that I've had before.
- Coding the Matrix: Linear Algebra Through Computer Science Applications. This class is taught by Philip Klein at Brown University, and it's offered through Coursera. It is another fine course. I took this for two reasons - 1) I never really learned linear algebra the way I needed to as an undergrad, and 2) it was all in Python. This is my 3rd course now that is Python based, and I can now say that I'm reasonably competent at it as a language.
Joe Bostian's blog about experiments, adventures, and topics of interest in assorted areas of computing. This is my trail of bread crumbs so that I don't forget where I've been.
Saturday, October 26, 2013
Hello Again ...
I have to admit that my Raspberry Pi bramble has been gathering some dust lately, primarily because I've been off taking classes again. I've spent a lot of tie on two very good classes that I would recommend to anyone:
Labels:
AI,
linear algebra,
machine learning,
MOOCs
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