Probabilistic Linear RegressionExplores probabilistic linear regression, covering joint and conditional probability, ridge regression, and overfitting mitigation.
Data Representations and ProcessingDiscusses overfitting, model selection, cross-validation, regularization, data representations, and handling imbalanced data in machine learning.
Bias-Variance Trade-OffExplores underfitting, overfitting, and the bias-variance trade-off in machine learning models.
Generalization TheoryExplores generalization theory in machine learning, addressing challenges in higher-dimensional spaces and the bias-variance tradeoff.
