Linear Regression Modeling | EPFL Graph Search

Covers linear and logistic regression for regression and classification tasks, focusing on loss functions and model training.

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

Covers supervised learning with a focus on linear regression, including topics like digit classification, spam detection, and wind speed prediction.

Covers the probabilistic model for linear regression and the importance of regularization techniques.

Covers the basics of linear regression and how to solve estimation problems using least squares and matrix notation.