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.
Credits:
(3+0+0) 3 ECTS 6
Prerequisites:
Consent of the instructor.
| Link | Year | Semester | Course Page | Instructor | Course Schedule | Lab Schedule | PS Schedule |
|---|---|---|---|---|---|---|---|
| view | 2022 | Spring | İnci Meliha Baytaş | ||||
| view | 2021 | Spring | İnci Meliha Baytaş | MMT 121 | |||
| view | 2019 | Spring | Course Page | Emre Uğur | MMT 121 A2 A2 A2 | ||
| view | 2019 | Spring | |||||
| view | 2018 | Spring | Ali Taylan Cemgil | WThTh 623 BM B5 | BM B5 | BM B5 | |||
| view | 2017 | Spring | Course Page | Emre Uğur | MMW 455 BM A3 | BM A3 | BM A3 | ||
| view | 2016 | Spring | Course Page | Ethem Alpaydın | |||
| view | 2015 | Spring | Course Page | Ethem Alpaydın | MMF566 ETA A5, ETA A5, ETA A5 | ||
| view | 2013 | Spring | Course Page | Ethem Alpaydın | |||
| view | 2011 | Spring | Course Page | Ethem Alpaydın |