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Statistical Learning Algorithms

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Classification Algorithms

Classification Algorithms

May 25, 20261 min read

Classification notes covering linear classifiers, probabilistic generative classifiers, and margin-based methods.

Notes

AreaNoteStatus
Linear classificationLinear Models for Classificationdraft
Generative modelNaive Bayes Classifierdraft
Generative modelGaussian Discriminant Analysisdraft
Margin methodSupport Vector Machinedraft

Related Modules

  • Linear Models and Regression
  • Kernel Methods
  • Ensemble Learning

4 items under this folder.

  • Jul 06, 2026

    Gaussian Discriminant Analysis

    • course/statistical-learning-algorithms
    • topic/classification
    • topic/generative-models
  • Jul 06, 2026

    Linear Models for Classification

    • course/statistical-learning-algorithms
    • topic/classification
    • topic/linear-models
  • Jul 26, 2026

    Naive Bayes Classifier

    • course/statistical-learning-algorithms
    • topic/classification
    • topic/generative-models
  • Jul 26, 2026

    Support Vector Machine

    • course/statistical-learning-algorithms
    • topic/classification
    • topic/svm
    • topic/convex-optimization

Created with Quartz v4.5.2 © 2026

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