Dear Colleagues, - Science is about understanding connections between phenomena: "Fat-rich diet --> heart attack more likely". - If your observations are noisy, then you need statistical models to describe those connections and to predict likely outcomes. - The simplest connection / model is a straight line. Hence: linear regression. - More complex statistical models, including neural networks and other nonlinear techniques, are based on linear regression. No matter what fancy "machine learning" you use to analyse your data, linear regression often lurks in the background. Learn it with me -- you won't regret it :-) TOPICS - 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? 9th April (Wednesday), 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 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 . QUESTIONS? Mail me please. Best regards, András You are receiving this message because you are subscribed to the VBC Science mailing list. To unsubscribe from this list, go to here<https://myaccount.microsoft.com/groups/64dd6714-c5a4-4ec9-a794-e7d168bf2f88> and select "Leave". If you want to re-join at a later time, visit this link<https://myaccount.microsoft.com/groups/search> and search for "VBC List" groups to join.