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SVM can only produce linear boundaries between classes by default, which not enough for most machine learning applications. We take the code from the last lecture and we spruce it up to handle high dimensional interpolation problems. Surprise! It takes no ... Here we talk about a different kind of interpolation using what are called
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The Kernel Trick in Support Vector Machine (SVM)
RBF Networks
High Dimensional Interpolation with RBFs
Radial Basis Function (RBF): The Most Popular Kernel in Machine Learning
Lecture 10 - Kernel/RBF Interpolation
Radial Basis Function Kernel - Gaussian Kernel
RBF Mathematics explained
The Kernel Trick
Interpolation with Kernels a first step towards Data Science
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Last Updated: June 13, 2026
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