It's widely used in machine learning. Bayesian model averaging is a common supervised learning algorithm. Naïve Bayes classifiers are common in classification tasks. Bayesian are used in deep learning these days, which allows deep learning algorithms to learn from small datasets.

Where is Bayesian statistics used in machine learning?

People apply Bayesian methods in many areas: from game development to drug discovery. They give superpowers to many machine learning algorithms: handling missing data, extracting much more information from small datasets.

Why is Bayesian statistics important for machine learning?

More specifically, the iterative of Bayesian statistics is very particular in use, it allows data experts to make anticipation more precisely. In present time, Bayesian statistics has a significant role in smart execution of machine learning algorithms as it gives flexibility to data experts to work with big data.