Unsupervised Machine Learning by Examples Clustering, Dimension Reduction, Elegant Visualization
Deien konjonkt端rde artan ve 巽eitlenen riskler yeni Risk Y旦netimi ve tespit ara巽lar脹n脹 zorluyor. zellikle Bankac脹l脹k sekt旦r端nde riskin erken tehisinde #R Software ve g端巽l端 analitik paketleri ile yap脹lan analizler art脹k en 巽ok tercih edilenler aras脹nda. Karar destek sistemlerinizde R ile 巽ok boyutlu Risk profili analizi yapmak i巽in; Bankac脹l脹k d端nyas脹na 旦zel; R Yaz脹l脹m脹 ile yeni Risk Analizi Eitim Mod端l端 Principal Componenet Analysis (PCA) Eitim Mod端l端 Eyl端lde ajandan脹za kaydedin. Derslerin Adlar脹 ve 聴巽erikleri; R ve Paketleri R ile Data Okuma ve Kaydetme 聴statistik Data Modelleme Linear-NonLinear Regresyon ve Anova Genel Linear Modeller (GLM) Lojistik Regresyon Multivariate Analysis Principal Component Analysis (PCA) Factor Analysis (FA) Correspondence Analysis (CA) K端meleme (Cluster) Analizi (k-means) B端t端n bu konular R RcmdrGui ve FactoMineR FactorExtra Paketleri ile ilenecek ve R Grafik Paketleri ile de desteklenecektir.
Unsupervised Machine Learning by Examples Clustering, Dimension Reduction, Elegant Visualization
- 1. 01 Data and Distance Data Preparation Required R Packages Distance Measures 02 Basic Clustering Partitioning Methods Hiererchical Clustering 03 Clustering Validation Clustering Tendency Opmimal Number of Cluster Validation Statistics P- Vaule for Hiererchical Clustering 04 05Clustering Visualizatio n Visual Enhanceme nt of Clustering Beatiful Dendrogram s Static and Interactive Heatmap Advanced Clustering Fuzy Clustering Model- Based Clustering Density- Based Clustering Hybrid Clustering Methods UNSUPERVISED MACHINE LEARNING BY EXAMPLES Clustering, Dimension Reduction, Elegant Visualization