Machine Learning
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Dimensionality Reduction
Quick Definition
Reducing feature count while preserving important information
Full Definition
Techniques reducing the number of features while preserving important information.
Examples
data visualization, feature extraction, noise reduction
Related Terms
pca
tsne
feature-engineering
More Machine Learning Terms
Ridge Regression
Regularized regression using L2 penalty to prevent overfitting
Bagging
Training models on random subsets and averaging predictions
Machine Learning
AI subset where systems learn patterns from data
A/B Testing
Statistical method comparing two versions for performance
UMAP
Fast dimensionality reduction preserving local and global structure
Gradient Boosting
Sequential ensemble method correcting previous model errors