![Kernel Trick for Support Vector Machines [Lecture 3.4]](https://i.ytimg.com/vi/6fqONx4mMI8/mqdefault.jpg)
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Last Updated: August 29, 2026
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SVM can only produce linear boundaries between classes by default, which not enough for most machine learning applications. Some parametric methods, polynomial regression and Support Vector Machines stand out as being very versatile. This is due ... This video is part of the Udacity course "Introduction to Computer Vision". Watch the full course at ... my content? Consider supporting the channel. The link is provided below- campusx.mojo.page/support-campusx ... theorem 13:20 Logistic Regression 26:31 The dual optimization problem 28:48 Apply kernels 28:56 In this video we give the functional analysis definition of a Reproducing Looking to find out more about the Why do we need kernel in SVM | kernel in Support Vector Machine in Machine Learning by Mahesh Huddar
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