Explores validated-aware software for continuous system validation in safety-critical environments, emphasizing the importance of anticipatory real-time assurance and semantic-level validation.
Explores model evaluation with K-Nearest Neighbor, covering optimal k selection, similarity metrics, and performance metrics for classification models.
Covers overfitting, regularization, and cross-validation in machine learning, exploring polynomial curve fitting, feature expansion, kernel functions, and model selection.
