Data & Features
Normalization
Scaling features to a standard range (typically 0-1 using min-max scaling) to improve model training and convergence. Often used interchangeably with standardization (mean=0, std=1), though technically distinct.
Related Concepts
- Standardization: Explore how Standardization relates to Normalization
- Data Preprocessing: Explore how Data Preprocessing relates to Normalization
- Min-Max Scaling: Explore how Min-Max Scaling relates to Normalization
Why It Matters
Understanding Normalization is crucial for anyone working with data & features. This concept helps build a foundation for more advanced topics in AI and machine learning.
Learn More
This term is part of the comprehensive AI/ML glossary. Explore related terms to deepen your understanding of this interconnected field.
Tags
data-features standardization data-preprocessing min-max-scaling