Login to filter by course Login to filter by course Reset
Model Selection: Least SquaresExplores model selection in least squares regression, addressing multicollinearity challenges and introducing shrinkage techniques.
Data-Driven Modeling: RegressionIntroduces data-driven modeling with a focus on regression, covering linear regression, risks of inductive reasoning, PCA, and ridge regression.
Model Building: Linear RegressionExplores model building in linear regression, covering techniques like stepwise regression and ridge regression to address multicollinearity.
PhD Programs at EPFLCovers PhD programs at EPFL, including selection procedures, research areas, and support for students.
Geometry of the LassoExplores the geometric explanation of why Lasso solutions are sparse and how coefficients change with the regularization parameter.
Robust Regression: Methods and ApplicationsExplores robust and resistant methods in linear models, emphasizing the importance of handling extreme observations and the implications of robustness in regression models.
Regularization in Machine LearningExplores Ridge and Lasso Regression for regularization in machine learning models, emphasizing hyperparameter tuning and visualization of parameter coefficients.
Testing and DebuggingExplores the history of computing, automated testing, TDD, test coverage, bug reports, and debugging.