Interpreting Machine Learning Models

#Machine #Learning #interpretability

Have you ever wondered why your Machine Learning (ML) model predicted some specific values? With the growing potential and adoption of ML, making ML models and their decisions interpretable is becoming more and more important, which in turn drives the need to develop various frameworks to help explain, understand, diagnose, and refine ML models. In this session, you will learn about some techniques and frameworks for interpreting ML models.

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• London, Ontario
• Canada

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• Co-sponsored by Optimized Computing and Communications (OC2) Laboratory

• Starts 21 October 2020 07:00 PM UTC
• Ends 30 October 2020 07:00 PM UTC
• No Admission Charge

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