I have stored up a large collection of things that I would like to write about. So here’s a I’m-going-to-tell-you-what-I-will-tell-you-post, mostly so that I don’t explode.
1. The lovely connection between ridge regression and PCA.
2. New found understanding of mixed effects models (Bayesian integration, PCA, etc.)
3. Simpson’s Paradox.
4. The remarkable Benford’s law and a generative story.
I have also started learning more crypto (via Udacity) and large scale machine learning (via John Langford). So there will be a lot more discussion of those over the summer.