Executive Development Programme in AI Metrics Performance Evaluation Strategies
-- ViewingNowThe Executive Development Programme in AI Metrics & Performance Evaluation Strategies is a certificate course designed to empower professionals with the necessary skills to evaluate AI models and systems effectively. In an era where AI has become integral to business operations, the demand for experts who can accurately measure and analyze AI performance has soared.
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⢠Introduction to AI Metrics
⢠Types of AI Metrics: Performance, Efficiency, and Business Impact
⢠Performance Metrics in AI: Accuracy, Precision, Recall, F1 Score, ROC Curve, AUC
⢠Efficiency Metrics in AI: Throughput, Latency, Computational Cost, Energy Consumption
⢠Business Impact Metrics in AI: Return on Investment (ROI), Customer Satisfaction, Employee Productivity
⢠Evaluation Strategies for AI Metrics: Model Validation, Cross-Validation, A/B Testing, Online Experimentation
⢠Best Practices in AI Metrics Performance Evaluation: Data Preparation, Model Selection, Result Interpretation, Communication
⢠Ethical Considerations in AI Metrics Performance Evaluation: Bias, Fairness, Transparency, Accountability
⢠Emerging Trends and Future Directions in AI Metrics Performance Evaluation: Explainable AI, Interpretable AI, Causal Inference in AI
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