Machine learning: Lecture 23b: Bayesian learning
Channel: UofU Data Science
Date: 10/04/2023

In this lecture, we will look at probabilistic criteria for defining what it means to learn. Specifically, we will see maximum a posteriori and maximum likelihood learning criteria with examples.

For more details visit https://svivek.com/teaching/machine-learning/spring2023/lectures/prob-learning.html