Data Science, Linear Algebra, Machine Learning.
the kernel function. This can be expressed as: K(x, y) = φ(x) ⋅ φ(y), where φ represents the implicit mapping function. The key is that we don’t need to know φ explicitly; we only need to know the kernel function K. Applications in Linear Algebra: Kernel methods are applied in various linear