CSC411H1: Machine Learning and Data Mining

Hours: 
24L/12T

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. Problems with handling large databases. Emphasis on statistical approaches.

Exclusion: 
Recommended Preparation: 
Distribution Requirements: 
Science
Breadth Requirements: 
The Physical and Mathematical Universes (5)