What kernel can be used in SVM to handle non-linear data?Answer areaLinear KernelPolynomial KernelRadial Basis Function (RBF) KernelAll of the above

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What kernel can be used in SVM to handle non-linear data?Answer areaLinear KernelPolynomial KernelRadial Basis Function (RBF) KernelAll of the above
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Solution 1

All of the above. In Support Vector Machine (SVM), different types of kernels can be used to handle non-linear data. These include:

  1. Linear Kernel: This is used when the data is linearly separable. It is one of the most common kernels to be used. It is represented by the dot product of the two in Knowee AI StudyGPT is a powerful AI-powered study tool designed to help you to solve study prob
Knowee AI StudyGPT is a powerful AI-powered study tool designed to help you to solve study problem.
Knowee AI StudyGPT is a powerful AI-powered study tool designed to help you to solve study problem.
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