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Kernels and RKHS

In this talk, application kernels in machine learning are presented such as separating and detecting similarity between the objects. Construction and operation with kernels, such as the kernel trick and different types of kernels are introduced. A non-technical introduction to reproducing kernel Hilbert spaces (RKHSs) are given, and some basic algorithms in RHKS are described. Ridge regression as an application of the kernels is discussed. You can find the details and slides about the seminar series at the link: https://ougur.iam.metu.edu.tr/rkhs-se...