An introduction to methods for automated learning of relationships on the basis of empirical data. Classification and regression using nearest neighbour methods, decision trees, linear models, and neural networks. Clustering algorithms. Problems of overfitting and of assessing accuracy.
Priority is given to students enrolled in Computer Science Specialist, Information Security Specialist, Bioinformatics Specialist, Computer Science Major and Applied Statistics Specialist or Major programs.
