Preview of Chapter 3 - Linear Models for Regression - Pattern Recognition and Machine Learning

We give a preview of what's coming up in Chapter 3. We discuss how it's a very important chapter because (1) it's focused on linear models, which are important in themselves but also form the foundations for more complex models, (2) because it's focused on the important problem of regression which comes up everywhere, and (3) because the chapter also covers important topics that apply beyond linear regression, including the bias-variance decomposition and Bayesian model selection.