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
Lasso Regression
Regularized regression using L1 penalty for feature selection
Bagging
Training models on random subsets and averaging predictions
Underfitting
When a model is too simple to capture data patterns
Batch Normalization
Normalizing layer inputs to stabilize and speed up training
Loss Function
Math function measuring prediction vs actual value difference
Support Vector Machine
Finding optimal hyperplane to separate classes with max margin