7.1 Summary

This week will introduce generative models for classification. More generally, we will discuss some high-level R concepts that should help you when trying to work with new functions in R.

7.2 Learning Objectives

After completing this week, you are expected to be able to:

• Understand the difference between discriminative and generative models.
• Use the lda(), qda(), and klaR::NaiveBayes() function in R to fit logistic regressions.
• Feel comfortable using R functions for classification models that you have not seen previously.

7.3 Reading

7.4 Video

7.5 Assignments

7.6 Office Hours