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
Contrastive Learning
Self-supervised learning by contrasting data pairs
PCA
Statistical technique reducing dimensionality via principal components
Boosting
Sequentially combining weak learners correcting previous errors
Data Augmentation
Artificially increasing training data through modified copies
LightGBM
Fast gradient boosting framework using histogram splitting
Hidden Markov Model
Statistical model with hidden states and observable outputs