Monson H. Hayes

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 Set #01: Bayesian Classifiers and ML Estimaters

Problem Set #02: Hoeffding Inequality

Problem Set #03: Break Points and VC Dimension

Computer Exercise #01: Naive Bayes Classifiers

Computer Exercise #02: The Perceptron Algorithm