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Artificial Intelligence (Choosing a Model (Application)…

- - - - K-means Clustering
      - Independent Component Analysis
      - Hierarchial Clustering
        
        Agglomerative Approach
        
        Divisive Approach
        
        BIRCH
        
        CURE
      - Spectral Clustering
      - Partitional Clustering
      - Fuzzy C-Means
    - - High Correlation Filter
      - Low Variance Filter
      - Forward Feature Construction
      - Backward Feature Elimination
      - Random Forest
      - Principal Component Analysis
      - Linear Discriminant Analysis
      - Generalized Discriminant Analysis
  - - - Decision Tree
      - Support Vector Machine
      - K-Nearest Neighbours
      - Random Forest
      - Naïve Bayes
      - Neural Networks
      - Logistic Regression
      - Kernel
    - - Random Forest
      - Regression Tree
      - Model Trees
      - Support Vector Machine
      - Linear Regression
      - Stepwise Regression
  - - - Asynchronous Actor-Critic Agents (A3C)
      - SARSA
      - Monte Carlo
      - QV(λ)-Learning
      - Q Learning
      - Temporal Difference
      - R Learning