Global Certificate in AI Analytics: Performance Metrics
-- ViewingNowThe Global Certificate in AI Analytics: Performance Metrics course is a comprehensive program designed to equip learners with essential skills in AI analytics. This course focuses on the importance of performance metrics in assessing and optimizing AI systems, making it highly relevant in today's data-driven world.
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⢠AI Metrics Overview
⢠Selecting Appropriate Evaluation Metrics
⢠Key Performance Indicators (KPIs) in AI Analytics
⢠Regression Metrics: Mean Absolute Error (MAE), Mean Squared Error (MSE), R-squared
⢠Classification Metrics: Accuracy, Precision, Recall, F1 Score, ROC Curve, AUC
⢠Clustering Metrics: Silhouette Score, Davies-Bouldin Index, Calinski-Harabasz Index
⢠Deep Learning Metrics: Loss Function, Confusion Matrix, Cross-Entropy
⢠Natural Language Processing Metrics: Perplexity, BLEU Score, ROUGE Score
⢠Evaluating AI Model Performance: Model Selection, Model Validation, Model Testing
⢠Best Practices in AI Metrics and Performance Tracking
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