Machine learning techniques like neural networks are great at generating valuable predictions. But how they reached those results often remains a mystery.

If you want to crack the AI black box, you must be able to effectively analyze your model predictions.

Discover how when you join us for this virtual hands-on workshop powered by AWS. You’ll learn key concepts about interpreting AI models before building and interpreting them yourself using SAS^® Viya^®.

We’ll explore how to:

• Use tools like partial dependence plots and individual conditional expectation plots to see how different inputs affect the model predictions.
  
• Create local interpretable model-agnostic explanation plots to zoom in on regions of interest.
• Explore NLG capabilities, which allow users to automatically generate explanations of analytics results in layman’s terms.