OP here. What kinds of sources are you looking for? We built this based on some of the lectures in Stanford's statistical learning class (http://online.stanford.edu/course/statistical-learning-winte...) as well as just hanging out with the ML team at http://siftscience.com

Do you have a gh repo? I really am interested in the story telling and ML aspects of the post.

The decision tree model was generated from http://scikit-learn.org in Python. The JS is a complete mess, but I'll try to write up how it works in the next couple days.

I'd love to see the JS too. Great viz!