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Applied microeconomics workshop

PhD course on Machine Learning for Health

PhD Course: Machine Learning for Health

Date: June 11-13
Time: 9:00-17:00
Location: University of Southern Denmark, roomO82
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

Last Updated 20.12.2023