What are Different Kernels in SVM?

What are Different Kernels in SVM?

题目类型: 技术面试题

这是一道技术面试题，常见于澳洲IT公司面试中。

难度: easy

标签: interviewbit, machine-learning, topic-specific, ai

参考答案摘要

There are six types of kernels in SVM: Linear kernel - used when data is linearly separable. Polynomial kernel - When you have discrete data that has no natural notion of smoothness. Radial basis kern...

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