Please enable JavaScript.

Coggle requires JavaScript to display documents.

Machine Learning (Ethics (Robot Rights, Weaponization of artificial…

- - - - Bias
      - Weights
      - Activation Function
      - Features
        
        Feature Scaling
        
        Mean Normalization
        
        Mapping Categorical Data
        
        Create featrues for non-linearity
        
        Feature Crossing
        
        Feature Selection
      - Learning Rate
      - Regularization
    - - Input Training Data
      - Calculate Loss
        
        Cost function
        
        Mean Squared Error (loss)
      - Adjust Weights
        
        Learning Rate
        
        Regularization
        
        Algorithms
        
        Gradient Descent
        
        Stochastic Gradient Descent
        
        Original Perceptron Algorithm
        
        Iterative
        
        Fitting
        
        Overfitting
        
        Feature Reduction
        
        Data Reduction
        
        Underfitting
        
        Increase Data
        
        Increase Iterations
      - Split Training Data
        
        Training Set, Validation Set, Test Set
    - - Run model against Test Data Set
      - Pick model that does best on Test Set
    - - Feature Selection
      - Data Cleaning
      - Normalization
      - Architecture Selection
  - - - Classification
        
        Linear
        
        Binary - True False
        
        Postive vs Negative
        
        Decision Boundary
        
        Neural Networks
        
        2 features
        
        Multi Features
      - Regression
      - Probobility - Logistic Regression
        
        Threshold Classifier
    - - Classification
      - Regress
    - - Design
        
        Activation Function
        
        Sigmoid
        
        RELU
        
        Layers
      - Training
        
        Vanishing Gradients
        
        Exploding Gradients
        
        Epochs
        
        BackPropagation
      - Convolutional Neural Networks
- - - - Dot product
        
        Dimensions before and after
        
        Not commutative
      - Scalar Math
      - Represent equation of Line as co-efficients
        
        Transpose
      - Solve Equation of Line
        
        Inverse Matrix
        
        Identity Matrix
        
        Singular/Degenerate Matric
      - Dimensions
        
        Rows, Columns
        
        How to Write (A12)
    - - Derivative
        
        Derivative is slope
        
        How to take a derivative
        
        How to take a partial derivative
        
        How to find the minimum of a parabolic equation
        
        Iteratively
        
        By solving equation
        
        Local vs. Global Optima
    - - Variance
    - - Composition of Functions
        
        Sigmoid
        
        Log
  - - - Plot a line
      - Scatter plot
      - Animate
    - - Matrix Math
        
        Create a Sub matrix
        
        Dot product
        
        Scalar math
        
        Transpose
    - - One Hot Encoding
    - - Anaconda
      - Spyder
      - Jupyter Notebooks
    - - Lists
      - Dictionaries