Kernel Types in SVM | Support Vector Machine
Learn about various kernel functions in SVMs and their role in machine learning, explained by Mahesh Huddar. π

Mahesh Huddar
83.9K views β’ May 12, 2023

About this video
Types of Kernel in SVM | Kernels in Support vector machine in Machne Learning by Mahesh Huddar
The following concepts are discussed:
______________________________
Linear Kernel in svm,
Polynomial Kernel in svm,
Exponential Kernel in svm,
Laplacian Kernel in svm,
Quadratic Kernel in svm,
Homogeneous Kernel in svm,
Inhomogeneous Kernel in svm,
Gaussian Kernel in svm,
Hyperbolic or the Sigmoid Kernel in svm,
Anova radial basis kernel in svm,
Radial-basis function kernel in svm,
Wavelet kernel in svm,
The spectral kernel in svm
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The following concepts are discussed:
______________________________
Linear Kernel in svm,
Polynomial Kernel in svm,
Exponential Kernel in svm,
Laplacian Kernel in svm,
Quadratic Kernel in svm,
Homogeneous Kernel in svm,
Inhomogeneous Kernel in svm,
Gaussian Kernel in svm,
Hyperbolic or the Sigmoid Kernel in svm,
Anova radial basis kernel in svm,
Radial-basis function kernel in svm,
Wavelet kernel in svm,
The spectral kernel in svm
********************************
1. Blog / Website: https://www.vtupulse.com/
2. Like Facebook Page: https://www.facebook.com/VTUPulse
3. Follow us on Instagram: https://www.instagram.com/vtupulse/
4. Like, Share, Subscribe, and Don't forget to press the bell ICON for regular updates
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Video Information
Views
83.9K
Likes
917
Duration
6:43
Published
May 12, 2023
User Reviews
4.4
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