Course 2B: Exploring Expert Settings in Driverless AI

Learning Outcomes:

By the end of this training, the attendee will be able to

  • Set default models to Auto, On, or Off to create a custom Driverless AI experiment
  • Set the level of feature engineering effort, and explain in general the levels and impact on how feature engineering proceeds
  • Locate and set the seed value of an experiment
  • Explain the “Feature Brain” and its impact on models, features, and reproducibility
  • Individually select scorers, transformers, or models

Prerequisites

This course assumes 

  • Completion of “Introduction to Driverless AI” or equivalent experience.
  • Completion of “Customizing Driverless AI with Recipes” is suggested, but not required
  • Familiarity with statistical or machine learning modeling.

Are you interested in this course? If so, we will email you once this course is available.


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