Interpretable Artificial Intelligence implementation in Manufacturing task

Type of course:

Digital learning, Lesson

Language:

Duration:

20 minutes

Workload:

2 hours

Proficiency:

Intermediate

Target:

Professionals

This “Interpretable Artificial Intelligence implementation in
Manufacturing task” nugget focuses on offering a practical experiment
with data from a real manufacturing company. The student is expected to
apply their knowledge on how to introduce the capability to interpret
and explain the output of a “black-box” type of model in a real-life
business. Formative assessment
is presented in the end to support the student’s comprehension of the
materials.

Learning outcomes

The student will recognize the importance of evaluating and validating model quality for reliable explanations
The student will implement SHAP as an explainable tool to understand a "black-box" model
The student will interpret the output of SHAP based on a model prediction