Code |
Course Name |
Language |
Type |
SED 313 |
Machine Learning for Industrial Systems |
English |
Elective |
Local Credits |
ECTS |
Theoretical |
Tutorial |
Laboratory |
3 |
4 |
3 |
0 |
0 |
Course Prerequisites and Class Restriction |
Prerequisites |
None |
Class Restriction |
None |
Course Description |
Machine learning concepts, linear regression, logistic regression, decision trees, k-means clustering, Gaussian
Mixture Models, k- nearest neighbors, artificial neural networks, deep learning, support vector machines, hybrid
methods, overfitting, cross validation, parameter optimization. |
|