Bayesian Inference is the process of deducing properties about a population or probability using Bayes Theorem. It specifies how one should update one’s theories upon observing data, Bayesian inference has found application in a wide range of activities, including science, engineering, philosophy, medicine, sport, and law. Bayesian Inference is a way to get sharper predictions from your data, particularly useful when data is lacking, and you would like to capitalize on every bit of predictive strength from that data.