Content proposed for this material

[malvikasharan]

This lesson should cover foundational concepts introducing

• data science, machine learning, Deep Learning, AI
• Address ‘why do these apply to me?’
• Include examples to inform future directions in biomedical and related fields: breakthrough technology and applications
• Intro to different algorithm types and how to choose what to use
• Splitting datasets appropriately and avoiding leakage.
• Problem of imbalanced data sets and of overfitting
• Statistics to evaluate output (precision-recall etc)
• Pointers to where to start with different approaches
• Guide to common tools - perhaps this will be covered in the above sections, but a guide to available commonly used tools would be helpful.

Examples should be pulled from the Turing where we can and also more broadly from international communities highlighting specific/specialist topics

• Genomics: Single cell genomic analyses (scRNAseq, scATACseq, spatial transcriptomics);
• Genomics: Cancer genomics
• Imaging: Biological image analysis (ML for segmentation, tracking, registration, classification, de-noising).
• AlphaFold, protein folding- structural biology/protein-protein interaction
• See some more examples here: Include feedback and examples from external experts in the lessson managing-computational-projects#19 (comment)

Another lesson is being developed alongside for Managing open and reproducible computational projects: challenges and benefits (reproducibility, collaboration, open tools, version control and importance in grants, peer review, academic incentives)

• https://carpentries-incubator.github.io/managing-computational-projects/

[malvikasharan]

@all-contributors please add @malvikasharan for fundingFinding, ideas, mentoring, projectManagement, eventOrganizing

[allcontributors]

@malvikasharan

I've put up a pull request to add @malvikasharan! 🎉

[malvikasharan]

@all-contributors please add @tobyhodges for infra and questions

[allcontributors]

@malvikasharan

I've put up a pull request to add @tobyhodges! 🎉