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Ders Adı |
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Yapay Ö?renme |
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Ders Kodu |
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YZLM 5200 |
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Ders
İçeriği(Türkçe) |
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Makine Ö?renmesi kullan?lan 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 |
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Ders İçeriği(İngilizce) |
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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 |
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Ders Saati |
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Teo. Ders: |
3
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Uyg.: |
0 |
Lab.: |
0
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Ders Kredisi |
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3
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