Learning Path

Foundations of Epidemiology → Comparison with Traditional Statistical Methods

This learning path guides epidemiology and data science students through the application of machine learning (ML) to epidemiological problems, covering core ML algorithms, their use in disease prediction, outbreak detection, causal inference, and interpretability, while emphasizing validation and comparison with traditional methods. It builds on basic epidemiology and programming skills, progressing from foundational concepts to advanced applications.