Dive into a comprehensive 3.5-hour tutorial on Generalized Linear Models (GLMs). Explore the background, canonical link functions, and key concepts like likelihood, score, and Fisher information. Master iteratively re-weighted least squares for general link functions. Delve into specific GLM types including probit, logistic (logit), complementary log-log, and Poisson regression. Gain insights into ordinal logistic regression using the proportional odds model and multinomial logistic regression. Enhance your statistical modeling skills with in-depth explanations and practical applications of these powerful techniques.