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
Batch Normalization
Normalizing layer inputs to stabilize and speed up training
Logistic Regression
Statistical model estimating binary outcome probabilities
Margin
Distance between decision boundary and nearest data points
Feature Selection
Identifying the most relevant features for model training
Cross-Validation
Evaluating model performance with multiple data splits
Loss Function
Math function measuring prediction vs actual value difference