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

Histogram-weighted networks

Neuroimaging Quality Control

niQC Overview

niQC Tools and Informatics

Related niQC lectures on the course page

Data Science

High performance computing tutorial, with checklist and tips to optimize cluster usage from Pradeep Redddy Raamana