Regularization TechniquesExplores regularization in linear models, including Ridge Regression and the Lasso, analytical solutions, and polynomial ridge regression.
Supervised Learning EssentialsIntroduces the basics of supervised learning, focusing on logistic regression, linear classification, and likelihood maximization.
Back to Linear RegressionCovers linear regression, regularization, inverse problems, X-ray tomography, image reconstruction, data inference, and detector intensity.
