CMPE462
Machine Learning
The information on this page is under construction.
Course Information
| Faculty | Faculty of Engineering |
| Course Code | CMPE462 |
| Course Title | Machine Learning |
| Language of Instruction | English |
| Course Semester | Fall |
| Course Hours | Lecture: 3, PS:0, Labs: 0 |
| Course Credits | 3 |
| ECTS | 6 |
| Grading Mode | Letter Grade |
| Prerequisites | None |
| Corequisites | None |
Catalog Description
Overview of artificial learning systems. Supervised and unsupervised learning. Statistical models. Decision trees. Clustering. Feature extraction. Artificial neural networks. Reinforcement learning. Applications to pattern recognition Overview of artificial learning systems. Supervised and unsupervised learning. Statistical models. Decision trees. Clustering. Feature extraction. Artificial neural networks. Reinforcement learning. Applications to pattern recognition and data mining.
Course Learning Outcomes
- Knowledge of basic machine learning methods
- Implementation of prediction methods
- Experience with analysis of real data
Current Instructor
İnci Baytaş
Assistant Professor
Previous Instructors
Ethem Alpaydın
Professor
Ali Taylan Cemgil
Professor
Emre Uğur
Assistant Professor