Global Certificate in Historical AI: Performance Metrics
-- ViewingNowThe Global Certificate in Historical AI: Performance Metrics is a crucial course designed to meet the growing industry demand for AI professionals with a deep understanding of historical AI performance assessment. This certificate course equips learners with essential skills to evaluate AI models, systems, and algorithms accurately.
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โข Unit 1: Introduction to Historical AI: Performance Metrics
โข Unit 2: Understanding AI Evaluation Metrics
โข Unit 3: Key Performance Indicators (KPIs) in AI Systems
โข Unit 4: Evaluating Accuracy in Historical AI Systems
โข Unit 5: Precision, Recall, and F1 Score in AI Models
โข Unit 6: ROC Curve and AUC Metrics
โข Unit 7: Mean Absolute Error (MAE) and Root Mean Squared Error (RMSE)
โข Unit 8: Cohen's Kappa and Matthews Correlation Coefficient
โข Unit 9: Natural Language Processing (NLP) Evaluation Metrics
โข Unit 10: Best Practices in Evaluating AI Performance Metrics
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