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
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Hyperparameter controlling gradient descent step size
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Stochastic model where events depend only on previous state
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LightGBM
Fast gradient boosting framework using histogram splitting
AdaBoost
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Semi-Supervised Learning
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