Cross-validation & RegularizationExplores polynomial curve fitting, kernel functions, and regularization techniques, emphasizing the importance of model complexity and overfitting.
Data Representations and ProcessingDiscusses overfitting, model selection, cross-validation, regularization, data representations, and handling imbalanced data in machine learning.
Probabilistic Linear RegressionExplores probabilistic linear regression, covering joint and conditional probability, ridge regression, and overfitting mitigation.
