What are Kernels in SVM? List popular kernels used in SVM along with a scenario of their applications.

4 years ago
Machine Learning

The function of kernel is to take data as input and transform it into the required form. A few popular Kernels used in SVM are as follows: RBF, Linear, Sigmoid, Polynomial, Hyperbolic, Laplace, etc. 

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Sanisha Maharjan
Sanisha Maharjan
Jan 11, 2022
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