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
Machine Learning
AI subset where systems learn patterns from data
Decision Tree
Tree-like model splitting data based on feature values
AdaBoost
Combining weak classifiers with adaptive sample weighting
Support Vector Machine
Finding optimal hyperplane to separate classes with max margin
Kernel Trick
Transforming data to higher dimensions for linear separability
Gradient Boosting
Sequential ensemble method correcting previous model errors