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Materials for a workshop introducing machine learning to biologists

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Because we do not have time during the workshop to review the paper charting activity results with every group, participants do not receive feedback on how accurate their charts are....

00f0ab7 disabled Travis CI, which was no longer running anyway due to its updated credit model. The upstream lesson template repository https://github.com/carpentries/styles now uses GitHub Actions for continuous integration. We...

The terms defined in the lesson have diverged from the terms in the glossary. We should synchronize them. Ideally we would find a way to automate this.

It would be valuable to log how we spend our time during the lessons. We could track 10 minute blocks and annotate them as: - lecture - group discussion and...

Participants have responded well to the paper charting assessment activity, and we plan to include this in future versions of the workshop. However, there could be ways to improve the...

There were a few instances were our sample datasets did not give the desired outcome, which made it hard to impress the points we wanted to make about hyperparameter or...

@qualiaMachine reviewed the workshop materials and had the following suggestions. > a. Found a typo [here](https://gitter-lab.github.io/ml-bio-workshop/04-trees-overfitting/index.html): "It is easy to go to deep in the tree" should be "too" instead...

Some of the polls in the 2021-02-25 workshop were effective and others were not as effective. Specific suggestions include: - Remove the first poll "T-Cell Classification: Exploring Model Training". There...

There are several classifiers in ml4bio we do not use or describe. We can quickly note these and link to the relevant guide, perhaps in the Conclusions episode.

One of our goals is for participants to be able to read machine learning literature in their domain. How can we reintroduce this as a in-workshop or post-workshop activity? Should...