Certificate in AI Metrics for Effective Analysis
-- ViewingNowThe Certificate in AI Metrics for Effective Analysis is a crucial course for professionals seeking to excel in the AI industry. This course highlights the importance of measuring and analyzing AI system performance, enabling learners to make informed decisions and strategically optimize AI systems.
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โข AI Metrics Fundamentals
โข Understanding Key Performance Indicators (KPIs) in AI
โข Data Preprocessing for AI Metrics Analysis
โข Regression Metrics in AI: MSE, RMSE, R-squared, and Adjusted R-squared
โข Classification Metrics in AI: Accuracy, Precision, Recall, F1 Score, and ROC Curve
โข Evaluating Deep Learning Models: AUC, Log Loss, and Cross-Entropy
โข Time Series Analysis: Autocorrelation, Partial Autocorrelation, and Seasonality
โข Natural Language Processing (NLP) Metrics: Perplexity, BLEU, and ROUGE
โข AI Model Selection, Tuning, and Validation Techniques
โข Ethical Considerations in AI Metrics
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