## Evaluating Probability Models

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

Data Scientist and trainer at Win Vector LLC. One of the authors of Practical Data Science with R.

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.”

For those of you starting to enjoy my short videos, I thought I would squander all that good will by recording a classic math joke. (link)

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 […]