Kernel Methods Discussion
Yannic and Alex delve into the importance of kernels in machine learning, highlighting the transition from SVMs to neural networks in academia. They discuss the historical significance of kernel methods and the shift towards more theoretically grounded approaches in statistical learning theory.In this clip
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Machine Learning Street Talk (MLST)
Kernels!
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