Hello. In this lesson, you will learn how to explain machine learning models with
Azure Machine Learning. As machine learning becomes
increasingly integral to decisions that affect health, safety, economic well-being, 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. Explaining models is difficult
because of the range of machine learning algorithm types and the nature of how
machine learning works. But model interpretability
has become a key element of helping to make model predictions
explainable. In this lesson, 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, and visualize model
explanations.