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Machine Learning (good for (problems require a lot of hand-tuning or long…

- - - - data = labeled
      - tasks
        
        classification
        
        target (numeric value)
      - algorithms
        
        k-Nearest Neighbors
        
        Linear Regression
        
        Support Vector Machines (SVMs)
        
        Decision Trees and Random Forests
        
        Neural networks
    - - algorithms
        
        Clustering
        
        K-Means
        
        DBSCAN
        
        Hierarchical Cluster Analysis (HCA)
        
        Anomaly detection and novelty detection
        
        Oneclass SVM
        
        Isolation Forest
        
        Visualization and dimensionality reduction
        
        Principal Component Analysis (PCA)
        
        Kernel PCA
        
        LocallyLinear Embedding (LLE)
        
        t-distributed Stochastic Neighbor Embedding (t-SNE)
        
        Association rule learning
        
        Apriori
        
        Eclat
      - data = without labels