_toc.yml

- file: content/introduction.md

- part: Introduction
  chapters:
  - file: content/table_of_contents
  - file: content/conventions_notation

- part: 1. Ordinary Linear Regression
  chapters: 
  - file: content/c1/concept
    sections:
      - file: content/c1/s1/loss_minimization
      - file: content/c1/s1/likelihood_maximization
  - file: content/c1/construction
  - file: content/c1/code

- part: 2. Linear Regression Extensions
  chapters:
  - file: content/c2/concept
    sections:
      - file: content/c2/s1/regularized
      - file: content/c2/s1/bayesian
      - file: content/c2/s1/GLMs
  - file: content/c2/construction
    sections:
      - file: content/c2/s2/regularized
      - file: content/c2/s2/bayesian
      - file: content/c2/s2/GLMs
  - file: content/c2/code


- part: 3. Discriminative Classifiers (Logistic Regression)
  chapters:
  - file: content/c3/concept
    sections:
      - file: content/c3/s1/logistic_regression
      - file: content/c3/s1/perceptron
      - file: content/c3/s1/fisher_discriminant
  - file: content/c3/construction
    sections:
      - file: content/c3/s2/logistic_regression
      - file: content/c3/s2/perceptron
      - file: content/c3/s2/fisher_discriminant
  - file: content/c3/code 

- part: 4. Generative Classifiers (Naive Bayes)
  chapters:
  - file: content/c4/concept
  - file: content/c4/construction
  - file: content/c4/code 

- part: 5. Decision Trees
  chapters:
  - file: content/c5/concept
    sections:
      - file: content/c5/s1/regression_tree
      - file: content/c5/s1/classification_tree
  - file: content/c5/construction
    sections:
      - file: content/c5/s2/regression_tree
      - file: content/c5/s2/classification_tree
  - file: content/c5/code 

- part: 6. Tree Ensemble Methods
  chapters:
  - file: content/c6/concept
    sections:
      - file: content/c6/s1/bagging
      - file: content/c6/s1/random_forests
      - file: content/c6/s1/boosting
  - file: content/c6/construction
    sections:
      - file: content/c6/s2/bagging
      - file: content/c6/s2/random_forests
      - file: content/c6/s2/boosting
  - file: content/c6/code 

- part: 7. Neural Networks
  chapters:
  - file: content/c7/concept
  - file: content/c7/construction
  - file: content/c7/code 

- part: Appendix
  chapters: 
  - file: content/appendix/math
  - file: content/appendix/probability
  - file: content/appendix/methods
  - file: content/appendix/data