Hands-on Lab: Explaining ML Model Predictions

Presented by

Lak Lakshmanan: Director, Analytics and AI Solutions, Google Cloud

About this talk

When we present an image to a machine learning model, how does it decide that a flower is a daisy or a tulip? Explaining model predictions is an important way to build trust, troubleshoot, and bust biases. Learn four methods to explain predictions, see how Google Cloud AI Platform serves predictions and explanations, then take part in our hands-on lab. Start your skills challenge today by registering at g.co/cloud/skillschallenge
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