Draft
DSAN 6150
Ruminations
Course Content
12. Machine learning explainability
Syllabus
Course notes
Course Content
1. Introduction
2. Experimental design and confounding
3. Causal Inference
4. Observational studies
5. Survival analysis I
8. Biomarker discovery
9. Applied Bayesian methods
Project
Project introduction
Project requirements
Project intermediate checkpoint
Project ideas
Research compendium resources
Writing a review paper: Tips
Resources
Books/Blogs
11. Applied machine learning
13. Decision making