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 |
KEY LEARNING OUTCOMES OF THE COURSE UNIT (On successful completion of this course unit, students/learners will or will be able to) |
Decides which machine learning method is suitable to given. |
Knows difference between regression and classification algorithms and uses them in suitable problems. |
Knows and applies hierarchical clustering algorithms and neighborhood based algorithms. |
Knows and applies supervised and unsupervised dimensionality reduction methods. |
Knows and explains parametric and nonparametric methods. |