Dear Colleagues, * The "LLM Castle of AI" (vibe-painted by me personally, with Mr Claude's help) is based on transformer networks. * Transformer networks are neural networks. * Neural networks are nonlinear regression methods. * Nonlinear regression is based on linear regression. This means that linear regression is the cellar of the "AI castle". Join me in exploring this cellar, which harbours no monsters or expensive wine, but some interesting topics, such as: - How to fit straight lines? Single, weighted and multivariable linear regression. - How to model noise in both variables? Orthogonal regression, Principal Components Analysis. - How to simplify the models? LASSO, Ridge, Elastic Net regressions. - What to do with correlated independent variables? Principal component regression, orthogonal polynomial regression. More details at https://training.vbcf.ac.at/training/rlinreg.php WHEN? 16th April (Thursday), from 09:00 to 13:00. WHERE? Physically at the IMP seminar room E-016. Non-VBC colleagues may attend online if needed. PREREQUISITES: Basic statistics knowledge. If you have attended my "Think Statistics! with R" course ( https://training.vbcf.ac.at/training/rstat.php ) then you are well prepared. Some very basic familiarity with R is also required. HOW MUCH? Free of charge. HOW TO REGISTER? Check your calendar. Then head to https://training.vbcf.ac.at/training/schedule.php , click on the corresponding Register button and fill out the little form. Make sure your PI agrees to your participation in the course. Please keep in mind that registration involves a commitment to attend. GENERAL RULES: Review them carefully at https://training.vbcf.ac.at/training/practical_information.php . Best regards, András
