Lecture Notes

Lecture Notes (Spring 2015)

!- Introduction to Probability and Bayes Decision Theory

2- Introduction to Bayes Decision Theory (2)

KNN Method (updated slides)

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Lecture Notes of the Previous Years

1- Introduction

2- Bayes Classifier (1)

3- Bayes Classifier (2)

4- Parameter estimation

5- Non-parametric methods

6- K-Nearest Neighbor

7- Clustering

7.1 Gaussian Mixture Model

8- Artificial Neural Networks(1)

9- Artificial Neural Networks(2)