Reproducing Kernel Hilbert Spaces
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In this blog post we will examine what Reproducing Kernel Hilbert Spaces (RKHS) are and the important properties that make them useful in statistical machine learning and functional analysis. Without loss of generality, we will take the general metric space $(\mathcal{X}, d)$ to be the standard Euclidean metric space $(\mathbb{R}^n, d)$. Read more