title-elementMachine Learningtitle-element
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Supervised ML
  • Support vector machines
  • Linear regression
  • Logistic regression
  • Naive Bayes
  • Linear discriminant analysis
  • Decision trees
  • K-nearest neighbor algorithm
Unsupervised ML
  • Clustering
  • Anomaly detection
  • Neural networks
  • Autoencoders
  • Generative adversarial networks
  • Expectation–maximization algorithm
  • Method of moments
  • Blind signal separation
Semi-supervised ML
  • Generative models
  • Low-density separation
  • Graph-based methods
  • Heuristic approaches
Reinforcement Learning
  • Deep reinforcement learning
  • Inverse reinforcement learning
  • Apprenticeship learning
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