DimensionalityReduction.md (367B)
1 # Dimensionality Reduction 2 3 ML CH1 4 5 **Definition:** This is where you have the goal of reducing the required data without losing too much information. This is like lossy compression. 6 7 This can be done by merging multiple correlated features into one. This is referred to as feature extraction where you extract a new feature from existing features to replace them.