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
Clustering
Grouping similar data points based on feature similarity
XGBoost
Optimized gradient boosting library for structured data
LightGBM
Fast gradient boosting framework using histogram splitting
Hidden Markov Model
Statistical model with hidden states and observable outputs
Bagging
Training models on random subsets and averaging predictions
Ensemble Learning
Combining multiple models for better predictions