The following videos demonstrate how to use Distil. Each video focuses on a different aspect of the workflow scenarios outlined in the previous sections. Click a title to expand.
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.
In this video, you will learn how to build a problem specification for the acceleration feature in a preselected automotive dataset.
In this video, you will learn how to create predictive models from a preselected automotive dataset.
In this video you will learn how to build a classification model and then apply it to make predictions on a new dataset.
In this workflow, you will learn how to guide Distil to build 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.