Reading 14: Classification I: Introduction, Generative Classification

Reading 14: Classification I: Introduction, Generative Classification#

For the class on Wednesday, March 19th

Reading assignments#

Read the following sections of [The20]:

  • Sec. 3.4 “Classification”

    • Including the subsection on “Generative Versus Discriminative Learning”

  • Sec. 7.2 “Bayesian Classification”

    • Including the subsection on “The Bayesian Classifier Minimizes the Misclassification Error”

  • (Optional) Sec. 7.4 “The Naive Bayes Classifier”

  • Sec. 7.5 “The Nearest Neighbor Rule”

Questions#

Submit your answer on Canvas. Due at noon, Wednesday, March 19th

Warning

If you use AI to help answer the following questions, make sure you read and agree with what it says!

  1. List anything from your reading that confuses you. Explain why they confuse you. If nothing confuses you, briefly summarize what you have learned from this reading assignment.

  2. What is the main difference between generative and discriminative classification methods?

  3. What quantity does a classification method aim to minimize?