Table of contents

1. Syllabus
2. Topics

Topics

Below are our tentative topics. Please consult Canvas for up to date information.

• Ensemble Learning (bagging, boosting, random forest)
• Maximum Likelihood Classification
• Support Vector Machines
• Deep learning
• Gradient boosting