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Lecture
Kernel Regression: Weighted Average and Feature Maps
Description
This lecture covers the concept of kernel regression, focusing on the calculation of weighted averages and the derivation of feature maps using radial basis functions. The instructor explains the process step by step, emphasizing the importance of feature mapping in making data linearly separable.
Official source
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