Summary – Kernel in Regression
- A kernel helps in modeling non-linear relationships using a shortcut to high-dimensional feature space.
- We can think of it as a smart similarity function that unlocks hidden patterns.
- Kernels are used in algorithms like Support Vector Machines, Kernel Ridge Regression, and Gaussian Processes.