Show Your Work - Using Data Science to Peek inside the Black Box

As machine learning becomes increasingly integral to decisions that affect health, safety, economic wellbeing, and other aspects of people's lives, it's important to be able to understand how models make predictions; and to be able to explain the rationale for machine learning based decisions. In this session you will learn how to: * Interpret global and local feature importance. * Use an explainer to interpret a model. * Create model explanations in a training experiment. * Visualize model explanations.