Bayesian Machine Learning, Bayesian Statistics, Inference, Editors Pick, Getting Started.
using an uninformative prior, that is a uniform distribution for the probability of flipping a heads. This means we consider all possible values of p from 0 to 1 as equally probable. In Bayesian inference the Beta distribution is often used as a uninformative prior for a binomial likelihood [1].