Theoretical Insights
Alex and Tim delve into the theoretical properties of maximum margin classifiers, discussing the implications of support vectors and dimensionality. They emphasize the importance of understanding the inner workings of models to drive advancements beyond mere performance gains.In this clip
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Machine Learning Street Talk (MLST)
Kernels!
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