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 Primer: what, which and how?

Proposal for standardizing biomarker performance via neuropredict

Machine learning, biomarker accuracy and best practices

Neuroimaging

Histogram-weighted cortical thickness networks for the detection of Alzheimer's disease from Pradeep Redddy Raamana

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