MACHINE LEARNING COURSE IDENTIFICATION AND APPLICATION INFORMATION
| Code |
Name of the Course Unit |
Semester |
In-Class Hours (T+P) |
Credit |
ECTS Credit |
| BIL415 |
MACHINE LEARNING |
5 |
3 |
3 |
6 |
Objectives and Contents |
| Objectives: |
To give students basic ideas and intuitions behind machine learning theory, artificial
neural networks algorithms, statistical learning methods as well as theoretical and
practical understanding of how, why and when they are used. |
| Content: |
Supervised Learning; Bayes Rule; Naive Bayes; Decision Trees; Linear Discriminant;
Multilayered Perceptron; Support Vector Machine; Unsupervised Learning; Maximum
Expectation; k-means; Gauss Mixture Model; Learning with Award-Punishment |