Bayesian statistical analysis concepts, taught using PyMC3, with Hugo Bowne-Anderson.
In this tutorial, we show data scientists how to write tests. Idea hatched with Renee Chu.
Model, loss, and optimizer: the core components of deep learning. Come learn more; at the end, we even build the beginnings of a deep learning framework!
My take on teaching network analysis and graph theory concepts, using NetworkX. Taught at many conferences since 2015.
One of my earliest tutorials, on how to use scikit-learn. Delivered in 2015.