What is Bayesian inference in machine learning?

What is Bayesian inference in machine learning?

Bayesian inference is a statistical method that updates the probability for a hypothesis as more evidence or information becomes available.

How does it differ from frequentist methods?

Unlike frequentist methods, which only use the data at hand, Bayesian methods incorporate prior beliefs and update them with new data.

Can you give an example of how it's used in practice?

Sure! In spam detection, Bayesian inference can help classify emails as spam or not by updating the probability based on the words present in the email.

What are some advantages of using Bayesian inference?

Some advantages include the ability to incorporate prior knowledge, handle uncertainty, and provide a more intuitive interpretation of results.