Thanks for this! I can see that you and I are somewhat on the same page in terms of mindset, though you're far ahead of me when it comes to both dev experience and math.

This is great, thanks! Have you looked into the udacity ML nanodegree? I gave it a cursory look and it seems pretty decent.

You're welcome!

I looked a while ago and The Udacity nanodegree looks interesting but kind of a subset of the materials I'd already lined up. I also think part of the challenge is tailoring a curriculum to one's existing strengths, so in my case I'm spending less time on general programming / data munging, more on stats fundamentals and ML algorithms, and find that most all in one MOOCs have some material that is less worthwhile for me. Also: some of the projects they feature, like the kaggle competition https://www.kaggle.com/c/titanic can be undertaken independent of udacity.

I really think Python Machine Learning + https://www.kaggle.com/c/titanic + kaggle.com/c/forest-cover-type-prediction is a great place to start on the practical ML side.