Supervised Learning
Regression and classification, the bias-variance trade-off, and the training/validation/test split.
Supervised learning finds a mapping from inputs to outputs from labelled examples. This chapter covers linear regression, logistic regression, the bias-variance trade-off, overfitting and underfitting, and the methodology of splitting data into training, validation, and test sets.