Advanced Machine Learning

Description

This advanced course builds on foundational machine learning concepts to cover more sophisticated algorithms and techniques. Topics include ensemble methods, support vector machines, clustering, dimensionality reduction, and Bayesian networks. Students will also explore recent advancements in machine learning, such as adversarial learning and transfer learning.

Pre-requisites

• MAT210 - Linear Algebra
• CSC220 - Fundamentals of Machine Learning

Pre-for

• AIE310 - Reinforcement Learning
• PRO201 - AI Projects II

Co-requisites

• No X-Requisite course found