optimization
Least squares as optimization
taught
Taught in
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Least squares as optimization
Optimization
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The loss-minimization framing of supervised learning
Optimization
Requires
- convex-functions-and-epigraphs required
Required by
- L2 regularization (ridge) required
- Logistic regression as optimization required
Local knowledge map
Local knowledge map
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Solid arrows are required prerequisites; dashed are recommended or helpful. Lower rows are more foundational. Click any box to jump to that concept.