| 1 | Parametric and nonparametric classification techniques. | 1 |
| 2 | Decision trees. | 1 |
| 3 | K-nearest neighbor algorithms. | 1 |
| 4 | Probability models and Naive Bayes Algorithm. | 1 |
| 5 | Linear classifiers and perceptron algorithm. | 1 |
| 6 | Artificial neural networks. | 1 |
| 7 | Artificial neural networks and back propagation algorithm. | 1 |
| 8 | Big Margin classifiers. | 1 |
| 9 | Vector support machines | 1 |
| 10 | Bayesian Networks. | 1 |
| 11 | Bayesian Networks. | 1 |
| 12 | Feature selection. | 1 |
| 13 | Feature extraction. | 1 |
| 14 | Performance evaluation of classifiers. | 1 |