Masterclass Certificate in AI Explainability Techniques
-- ViewingNowThe Masterclass Certificate in AI Explainability Techniques is a comprehensive course designed to empower learners with the essential skills to make artificial intelligence (AI) models transparent and understandable. This course is crucial in today's industry, where AI systems are increasingly used to make critical decisions, and there is a growing demand for AI explainability to ensure fairness, accountability, and trust.
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โข Introduction to AI Explainability
โข Types of AI Explainability Techniques
โข Model Interpretability: Feature Importance and Partial Dependence Plots
โข Local Interpretable Model-agnostic Explanations (LIME)
โข Shapley Additive Explanations (SHAP)
โข Explainable Boosting Machines (EBM)
โข Comparison of AI Explainability Techniques
โข Use Cases and Best Practices in AI Explainability
โข Ethics and Regulations in AI Explainability
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