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
Active Learning
Algorithm selecting most informative data points for labeling
Margin
Distance between decision boundary and nearest data points
Bagging
Training models on random subsets and averaging predictions
XGBoost
Optimized gradient boosting library for structured data
Boosting
Sequentially combining weak learners correcting previous errors
Overfitting
When a model learns training data noise and fails on new data