Machine Learning
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Kernel Trick
Quick Definition
Transforming data to higher dimensions for linear separability
Full Definition
A technique transforming data into higher dimensions to make it linearly separable without explicit transformation.
Examples
SVM non-linear classification, kernel PCA, RBF kernel
Related Terms
support-vector-machine
dimensionality-reduction
More Machine Learning Terms
Decision Tree
Tree-like model splitting data based on feature values
Autoencoder
Neural network learning compressed data representations
ARIMA
Statistical model for time series analysis and forecasting
Dimensionality Reduction
Reducing feature count while preserving important information
Time Series Analysis
Analyzing time-ordered data for patterns and forecasting
Unsupervised Learning
Discovering hidden patterns in unlabeled data