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
[I also run the Quality Conversations webinar series, which hosts many other experts]
Data Science
High performance computing: overview and practical tips [video] [slides]
cross invalidation 