Bayesian Learning for Machine Learning: Part 1 — Introduction to Bayesian Learning

In this article, I will provide a basic introduction to Bayesian learning and explore topics such as frequentist statistics, the drawbacks of the frequentist method, Bayes’s theorem (introduced with an example), and the differences between the frequentist and Bayesian methods using the coin flip experiment as the example.

To begin, let’s try to answer this question: what is the frequentist method?

Source de l’article sur DZONE