
| Course Code | : RYZ107 |
| Course Type | : Area Elective |
| Couse Group | : Short Cycle (Associate's Degree) |
| Education Language | : Turkish |
| Work Placement | : N/A |
| Theory | : 2 |
| Prt. | : 0 |
| Credit | : 2 |
| Lab | : 0 |
| ECTS | : 2 |
To provide information about the fundamental concepts, methods, and application areas of machine learning. To enable students to use machine learning methods in data analysis, classification, and prediction problems.
This course introduces machine learning and explores the relationship between artificial intelligence and data. It examines both supervised and unsupervised learning approaches used in machine learning. Furthermore, it investigates the applications of machine learning in robotics, automation, and industrial settings.