Machine Learning in Elixir

Section

Learning path for ML in Elixir

• Supervised Learning
  • Linear Regression
    • Model Representation
    • Cost function
    • Gradient Descent
  • Linear Regression with multiple input variables
    • Elixir, Nx (?) and vectorization
    • Multiple Linear Regression
    • Feature Scaling and Learning Rate
    • Feature Engineering and Polynomial Regression
  • Logistic Regression / Classification
    • Classification
    • Sigmoid function and logistic regression
    • Decision boundary
    • Logistic Loss
    • Cost function for Logistic Regression
    • Gradient Descent for Logistic Regression
  • Common topics
    • Linear Regression with scikit-learn
    • Logistic Regression with scikit-learn
    • Overfitting
    • Regularization