Maximum Likelihood Estimation for Regression in Machine Learning - Lecture 24

Maximum Likelihood Estimation for Regression in Machine Learning - Lecture 24

Explore maximum likelihood estimation applied to regression problems in this 37-minute lecture from the University of Utah's Data Science program. Delve into Bayesian Learning concepts through a detailed worked example, understanding how maximum likelihood estimation connects to loss minimization in regression contexts. Build foundational knowledge in probabilistic machine learning approaches while examining practical applications of these statistical methods.