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Related Questions
- What is the purpose of normalization in machine learning?
- How does L1 normalization differ from L2 normalization in terms of mathematical formulation?
- What are the advantages of using L1 normalization over L2 normalization in certain machine learning tasks?
- Can you provide examples of when L2 normalization is preferred over L1 normalization?
- How do the effects of L1 and L2 normalization differ on feature scaling and dimensionality reduction?
- Are there any specific machine learning algorithms that are more suited to L1 or L2 normalization?
- What are the computational complexities of L1 and L2 normalization, and how do they impact model training time?
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