Section outline

  • Parametric and non-parametric models, linear models, logistic regression, Support Vector Machines, decision trees and Random Forest. Metrics and protocols for evaluating the performance of classifiers. Cross-validation protocol and selection of hyper-parameters. Effect of regularisation terms in the learning process.