Posts from Reliable ML
Bayes in the Wild
- 04 June 2023
I talk about the Bayesian approach to wide range of problems. Show how it is related to traditional methods in ML and what tasks benefit from an alternative view.
Bayesian AB Testing
- 17 December 2022
I talk about the Bayesian approach to AB testing. The approach consists of 3 steps: making a hypothesis about the experiment, understanding time and data constraints, and interpreting the results after collecting the data. The advantage is that the Bayesian AB(C) test does not require p-values, corrections or bootstrap procedures, is conservative (does not exaggerate the result on small data) and is easily interpreted for business.
