Lectures related to Generalized Linear Models II: GLM Extensions

Related lectures (32)

Introduces linear models in machine learning, covering basics, parametric models, multi-output regression, and evaluation metrics.

Introduces supervised learning, covering classification, regression, model optimization, overfitting, and kernel methods.