Topic

The best way to share machine learning models is through interactive web applications that let stakeholders try the models for themselves. By playing with the model through a graphical interface, stakeholders can develop an intuition for how the model works in a way that would be impossible by analyzing average performance metrics or hand-picked examples.

Building web applications for machine learning requires significant knowledge of web development (css, js) and web hosting which are not in the typical data scientist's tool box. 

In this talk, we will introduce a gradio, an open source python library for building and sharing machine learning applications entirely in python.