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Characteristics of Machine Learning Models

Ricky Ho published yet another great article giving a high level summary of the algorithms used by different machine learning models:

  • decision trees
  • linear regression methods
  • neural networks
  • bayesian networks
  • support vector machines
  • nearest neighbor

For classification and regression problem, there are different choices of Machine Learning Models each of which can be viewed as a blackbox that solve the same problem. However, each model come from a different algorithm approaches and will perform differently under different data set. The best way is to use cross-validation to determine which model perform best on test data.

Original title and link: Characteristics of Machine Learning Models (NoSQL database©myNoSQL)