Resources:
Introduction to classification theory. In this module we assume that we don’t have a model, but just assume that we have some measurements available that can be used.
Branches of Machine Learning
Supervised Learning ← Focus in this course. Unsupervised Learning
Types of Classification Problems
Linear Separable Problem Nonlinear Separable Problem Non-Separable Problem ← Typically the case (overlapping features)
Notation
Other Sub-Topics
Classifiers based on Bayes Decision Theory Parametric vs Nonparametric Estimation