Support Vector Machine

Support Vector Machine

May 8, 2026
AI, ML
AI, ML, Support Vector Machine, SVM, Classification, Kernel Trick, Maximum Margin

Support Vector Machine (SVM) #

Support Vector Machine (SVM) is a supervised machine learning algorithm used for:

  • Classification (most common)
  • Regression (SVR – Support Vector Regression)

It connects many earlier ideas:

  • classification and decision boundaries
  • linear classifiers
  • margins
  • optimisation
  • constrained optimisation
  • kernels for non-linear data

SVM is a discriminative classifier.

That means it does not try to model how each class is generated.

Instead, it tries to find the best separating boundary between classes.