Set02: Basic Concepts & Classification Based on Probability
- feature vector
- KNN
- Classification Based on Probability
- Bayesian classifiers
- decision boundary
- Minimum-Risk Classifier
- Discriminant Function
- Maximum Likelihood Estimation
- ML for Gaussian
- Mixture Models
- Naïve-Bayes Classifier
Set03: Classifier Evaluation
Confusion Matrix
Two-Class Confusion Matrix
ROC CurvesSet04: Linear Classifiers
MSE Minimum squared error
Widrow-Hoff ProcedureSet05: Neural Networks
- Bayesian classifiers