## Evaluating Probability Models

A video introduction on how to evaluate probability models using the statistical deviance. (link)

A video introduction on how to evaluate probability models using the statistical deviance. (link)

(link)

I’d like to share a brief orientation video on measure theory based probability. Measure theory is a rigorous axiomatic treatment of probability that defers on interpretation (such as frequentist interpretation, Bayesian interpretation, or even Kolmogorov/Chaitin complexity). (link)

I’d like to share a quick video on some ideas on how to think about and teach about vectors in a data science context. (link)

I’d like to share an introduction to my data science chalk talk series (video link, series link)

I have a new short video lecture to share: “Classification as Censored Regression.”

I recently shared a bit of the history of The Science of Data Analysis. I thought I would follow that up with a quick chalk talk titled “What is Statistics?” (link)

I am re-reading from the great statistician John W. Tukey’s paper: Tukey, John W. “The Future of Data Analysis.” Ann. Math. Statist. 33 (1962), no. 1, pp. 1–67. doi:10.1214/aoms/1177704711. https://projecteuclid.org/euclid.aoms/1177704711 I’ve taken the liberty of pulling out some quotes that are very relevant to the usual “data science is not […]

I’d like to address how and why I am making the recent light-board video lectures (please check them out: A/B testing and Simpson’s Paradox, and Bayes’s Law and Odds). How How is the easy part. There are a number of tutorials on how to do this. The one I found […]