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?

[popular] Cross-validation tutorial [video] [slides]

Conquering confounds and covariates in predictive modeling

Proposal for standardizing biomarker performance via neuropredict

Machine learning, biomarker accuracy and best practices


Histogram-weighted networks

Neuroimaging Quality Control

niQC Overview

niQC Tools and Informatics

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]

Why Python is ideal for research software engineering?