1. Introduction
    ❱
    1. Cargo 101
  3. 1D Ridge regression 🦀
    ❱
    1. Functional
      ❱
      1. Loss function
      2. Closed-form solution
      3. Gradient descent
      4. Putting things together
      5. Exposing API
    3. Structured
      ❱
      1. Closed-form solution
      2. Gradient descent
      3. Trait Ridge model
    5. Generics
      ❱
      1. Generics & trait bounds
      2. Closed-form solution
    7. Option, errors, ndarray
      ❱
      1. Improved constructor
      2. Fit function
      3. Predict function
      4. Error handling
      5. Implementing tests
  5. Simple optimizers 🦀🦀
    ❱
    1. Trait-based
      ❱
      1. Gradient descent
      2. GD with momentum
      3. API and usage
      4. Tests
    3. Enum-based
      ❱
      1. Constructors
      2. Step functions
      3. API and usage
      4. Tests
    5. Using ndarray
      ❱
      1. Gradient descent
      2. Momentum GD
      3. Nesterov AG
      4. API and usage
      5. Tests
  7. Kernel Ridge regression 🦀🦀
    ❱
    1. Kernel module
    2. Gram matrix
    3. KRR model
    4. Fit function
    5. Predict function
    6. Hyperparameter tuning
  9. 2D Poisson FEM solver 🦀🦀
    ❱
    1. User interface
    2. Mesh module
    3. Element module
    4. Quadrature module
    5. Solver module