This lecture covers Kernel Ridge Regression, presenting equivalent formulations for Ridge regression and the Representer Theorem. It explains the usefulness of alternative forms, the Kernel trick, and building new kernels from old ones. The lecture also delves into the Mercer's condition and predicting with kernels.
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