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AI & MLCoreAIML-LIN-007

Generalized Linear Models

One template, many targets: a linear predictor, a link function, and an exponential-family likelihood.

Difficulty
2 / 5
Importance
5 / 5
Study time
1–2 h
Kind of work
Mixed

Why it matters

The learner can choose a link function and likelihood for count, binary, and continuous targets and explain what the link maps.

The route to this topic

Route AIML-LIN-007
What Is a Model? Tasks: Regression, Classification, and Beyond Features and Targets Classification Framing Linear Regression I: Prediction and Residuals Scores and Logits Loss and Fitting: Squared Error Sigmoid and Probabilities Linear Regression II: Least Squares Fitting Objective Functions and Empirical Risk Logistic Regression Likelihood Maximum Likelihood Estimation Linear Regression as a Probabilistic Model Generalized Linear Models