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This part about double decent is really good: https://alexshtf.github.io/2025/03/27/Free-Poly.html#fnref:2


Right? I'm no stranger to ML, but this feels like magic, so cool! It clearly explains why normalizing features can be important (some polynomials blow up outside their range), provides a simple example of double descent and fits extremely high-degree polynomials without loss of generalization - amazing stuff!




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