Professional Certificate in Machine Learning Model Explainability (Advanced)
-- ViewingNowPursuing the Professional Certificate in Machine Learning Model Explainability, you'll acquire expertise in designing and implementing transparent and interpretable machine learning models. This 20-unit programme is crucial in today's data-driven industry, where model explainability is a top priority.
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- Introduction to Machine Learning Model Explainability
- Foundations of Explainability in AI
- Interpretability Techniques for Deep Learning
- Model-Agnostic Explanations with SHAP
- Learning Explainable Models with LIME
- Model Interpretability with Partial Dependence Plots
- Explainable AI with Grad-CAM
- Visualizing Feature Importance with Integrated Gradients
- Understanding Model Biases
- Unbiased Machine Learning with Counterfactuals
- Explainability in Natural Language Processing
- Explainable Reinforcement Learning with State-Action Pairs
- Model Interpretability with Tree Explainer
- Explainable Generative Models with Normalizing Flows
- Transparency in AI with Model Agnostic Interpretability
- Explainable AI with Concept Activation Vectors
- Feature Importance with SHAP
- Model Explainability with LIME
- Explainable AI with Tree Explainer
- Advanced Techniques for Model Explainability
- Deploying Explainable AI in Real-World Applications
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Machine Learning Model Explainability Professional Certificate holders can pursue the following career paths: Insurance Pricing Analyst - 28% Risk Manager - 24% Consultant - 22% Team Lead - 16% Advisor - 10%
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- ProficiencyEnglish
- ComputerInternetAccess
- BasicComputerSkills
- DedicationCompleteCourse
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- ThreeFourHoursPerWeek
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- TwoThreeHoursPerWeek
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