Probabilistic Linear RegressionExplores probabilistic linear regression, covering joint and conditional probability, ridge regression, and overfitting mitigation.
Cross-validation & RegularizationExplores polynomial curve fitting, kernel functions, and regularization techniques, emphasizing the importance of model complexity and overfitting.
Metrics for ClassificationCovers sampling, cross-validation, quantifying performance, optimal model determination, overfitting detection, and classification sensitivity.
