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
CatBoost
Gradient boosting library with native categorical feature support
Bagging
Training models on random subsets and averaging predictions
Boosting
Sequentially combining weak learners correcting previous errors
t-SNE
Nonlinear technique for visualizing high-dimensional data
Learning Rate
Hyperparameter controlling gradient descent step size
Naive Bayes
Probabilistic classifier using Bayes theorem with independence