Posts in Russian
- 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.
- 21 April 2023
I talk about how Bayesian AB testing can drive conclusions from data. There is always the whole pipeline of decision making process: panning, execution and delivery. Each of the stages benefits from domain knowledge about the experimental setting. In the talk I explain how this can be framed from a Bayesian perspective.
- 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.