Standardization › Practical Applications
Michael BrenndoerferApril 25, 20251 min read
Machine Learning from ScratchAll chapters Part 3 of 9Foundations
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Standardization is essential in many real-world scenarios, such as:
- Financial modeling: Combining features like stock prices, trading volumes, and economic indicators, which may be on vastly different scales.
- Image processing: Normalizing pixel values across different image formats.
- Natural language processing: Integrating word counts, document lengths, and TF-IDF scores.
- Healthcare analytics: Combining lab values, vital signs, and demographic data, all of which may have different units and ranges.
- Recommendation systems: Merging user ratings, item features, and interaction counts.