Lecture 14 - Bayesian Linear Regression

Objectives

• Explain the probabilistic interpretation of least squares.

• Use regularization to avoid overfitting.

• Use Bayesian regression to quantify epistemic uncertainty induced by limited data.

• Explain the concept of point-predictive distribution.