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On this page, you will find sets of problems to work on to supplement the course lectures, as well as some thought questions to help you gain a better understanding of the course concepts.

If the problems are to be handed in, there will be a due date indicated on the assigment.





Problem Sets

Problem Set #01: Bayesian Classifiers and ML Estimaters
Problem Set #02: Hoeffding Inequality
Problem Set #03: Break Points and VC Dimension

Computer Exercises

Computer Exercise #01: Naive Bayes Classifiers
Computer Exercise #02: The Perceptron Algorithm