RSM338: Applications of Machine Learning in Finance

Course Information

Instructor: Kevin Mott
Term: Winter 2026
Institution: Rotman School of Management

Navigating Course Materials

Each lecture has three types of materials:

• Slides (Browser): Interactive HTML slides, best viewed on a computer. Use arrow keys or click to navigate. Supports scrolling on longer slides.
  • Note for mobile (phone) usage: click on the menu bar and then the PDF export mode for a smoother scrollable experience of all content in one vertical page.
• Slides (PDF): Static PDF version of slides for printing or annotation on a tablet.
• Course Notes: A chapter of the course textbook covering each lecture’s material in depth. Use this for review and reference.

Lecture Materials

Lecture	Topic	Slides (Browser)	Slides (PDF)	Notes (Browser)	Notes (PDF)
1	Math Bootcamp	HTML	PDF	HTML	PDF
2	Financial Data	HTML	PDF	HTML	PDF
3	Introduction to Machine Learning	HTML	PDF	HTML	PDF
4	Clustering	HTML	PDF	HTML	PDF
5	Regression	HTML	PDF	HTML	PDF
6	ML & Portfolio Theory	HTML	PDF	HTML	PDF
7	Classification	HTML	PDF	HTML	PDF
8	Ensemble Methods	HTML	PDF	HTML	PDF