Communicating the Interactive Machine Learning workflow to users

The interactive machine learning workflow is difficult to convey with static sources of descriptive knowledge, such as text (documentation, comments, etc.) and even code. This is because of of procedural nature that the workflow entails. Live demonstrations have been working pretty well for us, but were not always there.

Recommendation: We should find way to complement the documentation with richer media. Richer media, such as video and animations, are more effective at communicating the procedural nature of the workflow and yield better adoption.