In this lecture, we will look at the logistic regression classifier, and how we can learn the classifier under the maximum likelihood and maximum a posteriori criteria. We will also see how the logistic regression classifier fits in the scheme of learning with loss minimization.
Links and Resources
Chapter 6 of Tom Mitchell’s book
Chapter 7 of A Course in Machine Learning by Hal Daume
Chapters 2 and 3 of Pattern Classification by Duda, Hart and Stork