Machine Learning
29 views
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
Ridge Regression
Regularized regression using L2 penalty to prevent overfitting
Decision Tree
Tree-like model splitting data based on feature values
Machine Learning
AI subset where systems learn patterns from data
CatBoost
Gradient boosting library with native categorical feature support
Hyperparameter Tuning
Finding optimal configuration values before training
Multi-Task Learning
Training one model for multiple related tasks simultaneously