Topics covered:
- Machine learning
- Neuroimaging
- Neuroimaging Quality Control
- Data Science and High performance computing
Machine learning (ML)
Practical Introduction to ML: What, Which and How?
Cross-validation tutorial [very popular]
Conquering confounds and covariates in predictive modeling
Proposal for standardizing biomarker performance via neuropredict
Machine learning, biomarker accuracy and best practices
Neuroimaging
Neuroimaging Quality Control
Related niQC lectures on the course page
