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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⢠AI Metrics Fundamentals
⢠Understanding Key Performance Indicators (KPIs) in AI
⢠Data Preprocessing for AI Metrics Analysis
⢠Regression Metrics in AI: MSE, RMSE, R-squared, and Adjusted R-squared
⢠Classification Metrics in AI: Accuracy, Precision, Recall, F1 Score, and ROC Curve
⢠Evaluating Deep Learning Models: AUC, Log Loss, and Cross-Entropy
⢠Time Series Analysis: Autocorrelation, Partial Autocorrelation, and Seasonality
⢠Natural Language Processing (NLP) Metrics: Perplexity, BLEU, and ROUGE
⢠AI Model Selection, Tuning, and Validation Techniques
⢠Ethical Considerations in AI Metrics
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