All glossary terms
modelsintermediate

Support Vector Machine (SVM)

A supervised learning algorithm that finds the optimal hyperplane to separate classes in high-dimensional space.

In more detail

SVMs maximize margin between classes. Kernel trick enables non-linear classification. Effective for binary and multi-class classification. Sensitive to feature scaling and hyperparameter tuning.

Examples

  • Text classification
  • Image classification
  • Binary classification problems
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