ml-notes/_quarto-preview.yml at main · PhilChodrow/ml-notes · GitHub

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book:
  chapters:
    - index.qmd
    - part: "Introducing Machine Learning"
      chapters:
        - source/01-data-and-models.qmd
        - source/02-black-box-classification.qmd
    - part: "Fundamentals of Prediction"
      chapters:
        - source/03-score-based-classification.qmd
        - source/04-decision-theory.qmd
    - part: "Discrimination, Disparity, Data"
      chapters:
        - source/10-compas.qmd
        - source/12-statistical-fairness.qmd
    - part: "Machine Learning Models"
      chapters:
        - source/20-perceptron.qmd
        - source/21-convex-erm.qmd
        - source/23-gradient-descent.ipynb
        - source/30-features-regularization.qmd
        - source/40-linear-regression.qmd
        - source/45-bias-variance.qmd
        - source/50-kernel-methods.ipynb
        - source/51-vectorization.ipynb
    - part: "Deep Learning"
      chapters:
        - source/60-intro-deep.ipynb
        - source/61-modern-optimization.ipynb
        - source/70-image-classification.ipynb
        - source/72-text-classification.qmd
    - part: "Unsupervised Learning"
      chapters:
        - source/80-unsupervised-autoencoders.ipynb
        - source/81-neural-autoencoders.ipynb