COMPSCI 4ML3 - Fundamentals of Machine Learning

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 or MECHTRON 2MD3. One of STATS 2D03, STATS 3Y03, IBEHS 3S03, 4C03. One of MATH 1B03 or 1ZC3. One of COMPSCI 4O03 or 4TE3 or 4X03 or SFWRENG 3O03 or 4TE3 or 4X03 is recommended.
Antirequisite(s): COMPENG 4SL3, 4SL4
Offered on an irregular basis.