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Classroom Contents
Machine Learning Explainability & Bias Detection with Watson OpenScale
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- 1 - Start
- 2 - Explainer
- 3 - How it Works
- 4 - Setup Watson OpenScale
- 5 - Evaluating Model Performance
- 6 - Mitigating and Detecting Bias in ML Models
- 7 - Explaining and Interpreting Predictions
- 8 - What-If Scenario Modelling using OpenScale
- 9 - Tracking Model Quality
- 10 - Evaluating Model and Data Drift
- 11 - Wrap Up
