PhD Course: Machine Learning for Health
Date: June 11-13
Time: 9:00-17:00
Location: University of Southern Denmark, room O82
Lecturers: Jon Kolstad (UC Berkeley) and Ziad Obermeyer (UC Berkeley)
Course Information
This course will prepare students to:
- Describe intuitively how and why a few basic machine learning algorithms work
- Understand what is new about data science and how it differs from traditional estimation (regression). For example, distinguish prediction problems (‘can I predict y with x’) from estimation problems (‘does x cause y ’)
- Identify major methodological pitfalls encountered in answering these kinds of questions
- Develop a research question around a prediction policy problem in health, and make a research plan that avoids key methodological problems
Course Coordinator: N. Meltem Daysal, University of Southern Denmark
Administrative Support: Helle Møller Jensen, University of Southern Denmark