Machine Learning
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PCA
Quick Definition
Statistical technique reducing dimensionality via principal components
Full Definition
Principal Component Analysis reduces dimensionality by transforming features into uncorrelated principal components.
Examples
data visualization, noise reduction, feature extraction
Related Terms
dimensionality-reduction
feature-extraction
More Machine Learning Terms
Active Learning
Algorithm selecting most informative data points for labeling
Precision Recall
Metrics measuring positive prediction quality and coverage
Lasso Regression
Regularized regression using L1 penalty for feature selection
Data Augmentation
Artificially increasing training data through modified copies
Reinforcement Learning ML
Learning optimal decisions through environment interaction
Learning Rate
Hyperparameter controlling gradient descent step size