CSC311H5 • Introduction to Machine Learning

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. Basics of reinforcement learning.

Prerequisites
CSC207H5 and ( MAT223H5 or MAT240H5) and MAT232H5 and ( STA246H5 or STA256H5)
Exclusions
CSC411H5 or CSC311H1 or CSCC11H3
Enrolment Limits
Priority is given to students enrolled in Computer Science Specialist, Information Security Specialist, Bioinformatics Specialist or Computer Science Major programs.
Distribution Requirement
Science
Total Instructional Hours
24L/12T
Mode of Delivery
In Class
Program Area
Computer Science