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Related Questions
- What do you consider when selecting between L1 and L2 normalization techniques?
- How can the choice of normalization technique impact the classification performance in a machine learning model?
- Does the normalization technique affect feature importance in a decision-tree model?
- Would the choice of normalization matter when using a neural network with batch normalization?
- What are the challenges in selecting a normalization method for a dataset with highly heterogeneous features?
- When should we use standardization over normalization, and vice versa?
- In what situations would the minimax or max-min difference normalization techniques be more optimal?
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