Professional Certificate in AI Analytics: Performance Metrics
-- ViewingNowThe Professional Certificate in AI Analytics: Performance Metrics is a crucial course designed to equip learners with essential skills in AI analytics. This program focuses on teaching the importance of performance metrics in AI systems, enabling learners to evaluate and optimize AI model performance effectively.
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โข Unit 1: Introduction to AI Analytics & Performance Metrics
โข Unit 2: Key Performance Indicators (KPIs) in AI Analytics
โข Unit 3: Evaluating Model Accuracy: Precision, Recall, and F1 Score
โข Unit 4: ROC Curve, AUC, and Classification Thresholds
โข Unit 5: Regression Metrics: Mean Absolute Error & R-squared
โข Unit 6: Time Series Metrics: MAE, RMSE, & MAPE
โข Unit 7: Handling Imbalanced Datasets: Precision-Recall AUC & G-mean
โข Unit 8: Model Selection & Cross-validation Techniques
โข Unit 9: Monitoring AI Performance in Production
โข Unit 10: Ethical Considerations in AI Analytics & Performance Metrics
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