STAT 546: Machine Learning in Data Science

Welcome!

This is the official website of STAT 546: Machine Learning in Data Science for Fall 2026. To get started, you can read the Course Syllabus.

• Course discussions and grades will be available through Canvas.

Course Information

• Class Meetings: 11:00 AM - 12:20 PM, TR
  • Location: 305 Materials Science & Engineering Building
• Instructor: Ruoqing Zhu
  • Office: CAB 137
  • Office hours: Monday, 2:00 PM to 3:00 PM
• Teaching Assistant: Amitakshar Biswas
  • Office hours: Monday, 10:00 AM to 12:00 PM (Zoom)

Course Schedule

The course is organized into four modules. Modules 1 and 4 contain four instructional weeks, while Modules 2 and 3 contain three instructional weeks. The final instructional week of each module will be a Present and Challenge week.

• Module 1: Reproducing Kernel Hilbert Space (August 25 to September 17; four weeks)
• Module 2: Causal Inference and Personalized Decision Making (September 22 to October 8; three weeks)
• Module 3: Tree ensembles and uncertainty (October 13 to October 29; three weeks)
• Module 4: Reinforcement Learning (November 3 to December 3; four instructional weeks, excluding Fall Break)

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Announcements:

• Course materials for Module 1 are now available.