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Classroom Contents
Machine Learning Explainability: From Beta Coefficients to SHAP Values
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- 1 Introduction -
- 2 Output of predictive models should be explainable -
- 3 Global and local explainability -
- 4 Embedding SHAPly values in production output -
- 5 Contemporary machine learning models-
- 6 Is using SHAP a good idea? -
- 7 Questions -
- 8 The Secret To Great AI
- 9 Build a career in data-
- 10 Flawed ML Security-
- 11 AI Governance -
- 12 Continual Visual Learning -
- 13 Data Summit! -
