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Lecture
Support Vector Machines: Kernel SVM
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Support Vector Regression: Principles and Optimization
Covers Support Vector Regression principles, optimization, and hyperparameters' influence on the fit.
Signal Representations
Covers the representation of signals in vector spaces and inner product spaces, including the Projection Theorem.
