The following videos demonstrate how to use Distil. Each video focuses on a different aspect of the workflow scenarios outlined in the previous sections.
In this video, you will see the complete Distil workflow, from finding a relevant dataset, to creating predictive models and refining them with data augmentation services.
Task 1: Problem discovery
In this video, you will learn how to build and export a problem specification for the acceleration feature in a preselected automotive dataset.
Task 2: Model generation
In this video, you will learn how to create predictive models from a preselected automotive dataset.
Forecasting timeseries data
In this workflow, you will learn how to guide Distil to build a forecasting models.
In this workflow, you will learn how to find a dataset, add relevant data to it and guide Distil to build a predictive model.