| Ders Adı | : | Yapay Öğrenme |
| Ders Kodu | : | YZLM 5200 |
| Ders İçeriği (Türkçe) | : | Makine Öğrenmesi kullanılan matematiksel notasyonlar,Veri tipleri ve düzenlemeleri, Linear Regression, Logistic Regression, Decision Tree, SVM, Naive Bayes, KNN (K- Nearest Neighbors), K-Means, Random Forest, Dimensionality Reduction Algorithms, Gradient Boosting & AdaBoost, Deep learning |
| Ders İçeriği (İngilizce) | : | Mathematical notations used in machine learning, Data types and arrangements, Linear Regression, Logistic Regression, Decision Tree, SVM, Naive Bayes, KNN (K-Near Neighbors), K-Means, Random Forest, Dimensionality Reduction Algorithms,
Gradient Boosting & AdaBoost, Deep learning |
| Ders Saati | : |
| Teorik Ders : | 3 |
Uygulama : | 0 |
Laboratuar : | 0 |
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| Ders Kredisi |
: |
3 |
