What is Kernel Trick in Support Vector Machine | How Kernel Trick works in SVM in Machine Learning by Mahesh Huddar

In machine learning applications, the data can be text, image, or video.
So, there is a need to extract features from these data prior to classification.
Hence, in the real world, many classification models are complex and mostly require nonlinear hyperplanes.

The following concepts are discussed:
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What is Kernel Trick in Support Vector Machine,
What is Kernel Trick in SVM,
Kernel trick in svm,
Kernel Trick in Support Vector Machine,
advantages of kernel trick,
advantages of kernel trick in svm,
advantages of kernel trick in Support Vector Machine,
mapping function in svm,
mapping function in Support Vector Machine,
kernel vs mapping function in svm,
input space to feature space ins svm

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