Graduate Student Instructor

Winter 2021

Description

This course is a high-level introduction to a selection of fundamental and modern machine learning methods. Each week presents, explores and applies a different family of methods. A wide array of methods is covered, and the objective of the course is to train students to carry out basic statistical machine learning analysis using these, and become informed and critical consumers of machine learning research.

Learn more about this from the syllabus.