Lectures related to Machine Learning Fundamentals: Overfitting and Regularization

Related lectures (32)

Explores generalization theory in machine learning, addressing challenges in higher-dimensional spaces and the bias-variance tradeoff.

Explores probabilistic linear regression, covering joint and conditional probability, ridge regression, and overfitting mitigation.