Machine Learning: Lecture 24a: Bayesian learning (continued)
Channel: UofU Data Science
Date: 18/04/2023

In this lecture, we continue our exploration of Bayesian learning. 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