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Machine Learning (supervised learning (optimization method (gradient…

- - - - descriptive model
        
        two type of output
        
        regression
        
        ordinary least square regression model
        
        LMS update rule
        Widrow-Hoff learning rule
        
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        model setup
        
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        probalistic interpretation of LMS model
        
        classification
        
        logistic regression
        
        Link Title
        
        perceptron
        
        perceptron algorithm
        
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        basic setup
        
        Generalized Linear Model
        
        model setup
        
        provide generalized model with different distribution
        
        https://drive.google.com/open?id=1yVVsbqVtF-mOaDf5sHyPjEsTLOcpJCYe
      - Generative model
        
        Gaussian Discriminant Analysis
        
        Naive Bayes
- - - - 1.acquired data
        
        Inner Annotator Agreeement
        
        Examine the spec & disagreement cases
        
        Spec creep
      - 4.Create/Refine a specification
      - look at your data
      - Train/Dev/Test
        
        ideal: Train,Test and Dev randomly sampled
      - Build models
      - 6.Measurement
  - - - Two distinguishable classes merged as one
        One class split into two now indistinguishable class
      - solve by
        
        Class Confusion Matrices
- - - - Exhaustive Search
    - - Depth-first search