How does the Kernel Trick help in dealing with non-linear data in SVM?

  • Enhances data visualization
  • Maps data into higher-dimensional space for linear separation
  • Reduces data size
  • Speeds up computation
The Kernel Trick helps in dealing with non-linear data by mapping it into a higher-dimensional space where it can be linearly separated.
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