ODSC West 2020: Bayesian Statistics Made Simple
This course is available only as a part of subscription plans.
Bayesian statistical methods are becoming more common, but there are not many resources to help beginners get started. People who know Python can use their programming skills to get a head start. In this workshop, I introduce Bayesian methods using grid algorithms, which are a simple way to get started, yet powerful enough to solve many real world problems.
As the primary example, we will use data to estimate proportions and use the results to solve the "Bayesian Bandit" problem. This example is meant to be fun, but it is also useful; the same methods apply to A/B testing and Bayesian medical trials.
Workshop Overview and Author Bio
Before you get started: Prerequisites and Resources
Bayesian Statistics Made Simple
Worksop Slides
BayesMadeSimple Code
Allen Downey
Allen Downey
Professor at Olin College