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Penalized Models
Join us for the Fitting Models to Data Not Data to Models workshop series! This workshop series introduces early-career researchers to statistical models beyond linear models, focusing on fitting models to data rather than forcing data to fit model assumptions. Sessions use R and RStudio; prior experience is helpful but not required - beginners are encouraged to review R Fundamentals for Data Analysis or attend the intro workshop.
Penalized Models: This workshop introduces penalized regression methods (ridge, lasso, etc.), their assumptions and limitations, and when they may be appropriate or not. By the end of the session, participants should be able to explain how penalty terms shrink regression coefficients, compare the behaviour of different penalties, and interpret penalized regression models.
Questions? Please reach out to the Centre for Scholarly Communication at csc.ok@ubc.ca.
A full schedule of workshops can be found at csc.ok.ubc.ca/workshops/