3 unit(s) Regression, Classification and Decision Theory, Bias-Variance Trade-off, Linear Models, Kernel Methods, Probabilistic Models, Neural Networks, Model Aggregation, Unsupervised Learning.
Three lectures, one tutorial; one term Prerequisite(s): One of COMPSCI 2C03 or SFWRENG 2C03 or SFWRENG 2MD3. One of STATS 1L03, STATS 2D03, STATS 3Y03 is recommended. One of COMPSCI 4O03 or 4X03 or SFWRENG 3O03 or 4X03 is recommended.
Offered on an irregular basis.
