11. Linear Regression

The key property of linear regression is the expected value of the output is assumed to be a linear function of the input:

E[y∣x]=w⊤x\mathbb{E}[y|\bold{x}]=\bold{w}^\top \bold{x}
11.2 Least squares linear regression
11.3 Ridge regression
11.4 Lasso regression
11.5 Regression Splines
11.6 Robust linear regression