CSC311H5 • Introduction to Machine Learning

Description

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
Exclusions
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