Anthony Gitter

The preprint is available [here](https://doi.org/10.1101/225680)

- https://github.com/jakevdp/sklearn_tutorial - https://github.com/jakevdp/PythonDataScienceHandbook - http://scikit-learn.org/stable/tutorial/index.html

Sebastian will be join the stats faculty here and has some relevant repositories: - https://github.com/rasbt/python-machine-learning-book-2nd-edition - https://github.com/rasbt/msu-datascience-ml-tutorial-2018 - https://github.com/rasbt/data-science-tutorial - https://github.com/rasbt/pydata-chicago2016-ml-tutorial

Sebastian's textbook figures have been excellent for our guides. I'll contact him to discuss what we are working on.

One set of literacy concepts would be those taught in machine learning courses. At UW-Madison, that includes [CS 540](http://pages.cs.wisc.edu/~jerryzhu/cs540.html) and [CS 760](http://pages.cs.wisc.edu/~dpage/cs760/). They are aimed at a different, more technical,...

A group in Radiology on campus recently presented a workshop on ML for medical imaging. We can follow their efforts and see if we have common goals. Their workshop is...

DataCamp has a guide on preprocessing for machine learning. However, it is a paid course: https://www.datacamp.com/courses/preprocessing-for-machine-learning-in-python

This machine learning tutorial for biologists focuses mostly on unsupervised learning for single-cell RNA-seq. It is presented as a Jupyter notebook with some accompanying slides: https://github.com/scottgigante/machine-learning-tutorial

> Would "literacy" also include gaining the vocabulary and understanding of machine learning Yes, I'd say that is a major part of literacy. We should think about ways to bring...

> Do we want to allow a user to view the performance of other classifiers on the test data instead of only their selected classifier? I reviewed the behavior again...