CS 451: Advanced Machine Learning

Number of Sections: 1 | Days and Times: Mondays & Wednesdays (9:50-11:30 ICT)

Course Description

This course covers a number of more advanced Machine Learning algorithms and their applications. Requirements for this class are completion of basic Mathematics and Statistics modules, as well as the Introduction to Python and the Introduction to Machine Learning. Throughout the class, we will cover a range of supervised, unsupervised and reinforcement learning algorithms as well as directly apply them to relevant data. We will also cover hyperparameter tuning as well as model evaluation.

Prerequisites: 

CS 210: Programming with Python

CS 300: Introduction to Machine Learning