Machine Learning cheat sheet for linear classifiers and clustering algorithms
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A summary for common machine learning algorithms, provided in a handy format.

Classifiers included are:

  • k-nearest neighbour
  • Naive Bayes
  • Log-linear
  • Perceptron
  • Support Vector Machines

Clustering (EM) algorithms included are:

  • k-means
  • Mixture of Gaussians