ml4bio-workshop
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carpentries-incubator
Materials for a workshop introducing machine learning to biologists
Some participants may want to know where to turn next if they want to go deeper into machine learning. There may be too many of these to track. We can...
This Nature Methods editorial about machine learning in biology could be a good resource for us to send participants before the workshop, though it's fairly heavy on deep learning. https://doi.org/10.1038/s41592-019-0432-9
At a workshop, one participant was unable to use the install scripts to set up the conda environment on Windows. We traced the issue to the `PATH` on Windows being...
There have been numerous improvements to The Carpentries lesson [template](https://github.com/carpentries/styles) since we originally created this lesson. Upgrading would help address https://github.com/carpentries-incubator/ml4bio-workshop/issues/118#issuecomment-899758107 and #119.
This manuscript presents machine learning collaboration challenges that could be relevant for our workshop audience. [Collaboration Challenges in Building ML-Enabled Systems: Communication, Documentation, Engineering, and Process](https://arxiv.org/abs/2110.10234) > The introduction of...
[The Bicycle Principles for Effective, Inclusive, and Career-spanning Short-format Training](https://www.bikeprinciples.org/) contains recommendations for workshops like this one. For the next version of the workshop, we can review their recommendations, determine...
Installing the ml4bio software can be challenging for some participants on some machines. We can use this issue to track ideas for moving the GUI to a web browser. One...
In the workshop activities, we expect that participants are able to read and interpret biological research as a prerequisite. We should add this to either the invitation email or directly...
We currently discuss data pre-processing in the T-cells lesson and give examples there. We do not teach specific data cleaning strategies because they are domain specific. However, we can do...
The [conda constructor](https://github.com/conda/constructor) project could be a perfect solution for our installation challenges. From the readme: > Constructor is a tool which allows constructing an installer for a collection of...
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Materials for a workshop introducing machine learning to biologists