Lecture 19 - Introduction to Linear Regression

Lecture PDF: https://www.dropbox.com/s/edk52189e1s9lgy/Lec19-Introduction2LinearRegression.pdf?dl=0 Introduction to linear regression, Over fitting, Effect of Data Size, Training and Test Errors; Over fitting and MLE; Regularization and Model Complexity; Basis function models; MLE and Least Squares; Convexity of the negative log likelihood; Sequential learning of the MLE; Robust Linear Regression, Huber Loss Function.