Machine Learning
268 views
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
Margin
Distance between decision boundary and nearest data points
Random Forest
Ensemble of decision trees that votes on predictions
Contrastive Learning
Self-supervised learning by contrasting data pairs
Machine Learning
AI subset where systems learn patterns from data
Bagging
Training models on random subsets and averaging predictions
Online Learning
Updating models incrementally as new data arrives