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
LightGBM
Fast gradient boosting framework using histogram splitting
Random Forest
Ensemble of decision trees that votes on predictions
Gradient Descent
Optimization algorithm minimizing loss by steepest descent
K-Means
Partitioning data into k clusters by updating centroids
Learning Rate
Hyperparameter controlling gradient descent step size
Boosting
Sequentially combining weak learners correcting previous errors