Quick-start exercises: Optimize

These exercises are based on process, build and test data for an Additive Manufacturing part. Together, the MI Machine Learning Quick-start exercises walk through solving a build optimization problem for this part, starting with creating a trained machine learning model from sparse, noisy data, and ending with a potential set of build parameters to try.

In the exercises for the Optimize app, you will:

  • Create a Criteria Set based on a trained model. 
  • Send a model and Criteria Set to the engine and interpret the results. 
  • View Optimize results in the Visualize app.

Pre-requisites: