Bayesian Machine Learning, Bayesian Statistics, Inference, Editors Pick, Getting Started.
as the number of successes (𝜶) and the number of failures (𝜷) observed. The uninformative Beta distribution prior has hyper-parameters(𝜶,𝜷) =(1,1). This represents the observation of one of each outcome previously. Figure 2 shows how the Beta distribution varies for different values of (𝜶,𝜷).