Evaluating Probability Models
A video introduction on how to evaluate probability models using the statistical deviance. (link)
Evaluating Regression Models
(link)
Measure Theoretic Probability Video
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)
Some Ideas on How to Think About Vectors
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)
The Purpose of our Data Science Chalk Talk Series
I’d like to share an introduction to my data science chalk talk series (video link, series link)
Classification as Censored Regression
I have a new short video lecture to share: “Classification as Censored Regression.”
What is Statistics?
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)
The Science of Data Analysis
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 […]
New Light-board Lecture: wrapr::unpack
How and Why am I Making These Light-board Video Lectures
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 […]
