machine-learning
Scaling and standardization
taught
Rescaling features onto comparable ranges so no single feature dominates a model just because of its units.
Taught in
-
Scaling and standardization
Modern Machine Learning
Requires
- optimization-vocabulary-for-ml required
Required by
- K-means clustering required
- K-nearest neighbors required
- Running PCA in practice 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.