Dimensionality reduction and matrix factorisation

These techniques are employed to reduce the dimensionality of the training set when it's convenient, and to factorise matrices in order to separate information. We put them together as they are mathematical tools to be applied to matrices.
Contents
Principal component analysis
/machine-learning-concepts-and-procedures/dimensionality-reduction-and-matrix-factorisation/principal-component-analysis
Non-negative matrix factorisation
/machine-learning-concepts-and-procedures/dimensionality-reduction-and-matrix-factorisation/non-negative-matrix-factorisation
Singular value decomposition
/machine-learning-concepts-and-procedures/dimensionality-reduction-and-matrix-factorisation/singular-value-decomposition

Regularisation techniques

Principal component analysis

Last updated 1 year ago