AI engineering glossary · Classical ML algorithms
What is UMAP?
UMAP: Uniform Manifold Approximation and Projection: a dimensionality reduction method that builds a graph of nearest neighbours and lays it out in low dimensions. It is usually faster than t-SNE and keeps more global structure, and can be used for general reduction too.
UMAP: an example
Reducing 768-dimensional text vectors to 2-D to inspect topic clusters.
Related terms
More Classical ML algorithms terms
- Variance inflation factor
- Voting classifier
- Weak learner
- XGBoost
- AdaBoost
- Agglomerative clustering
- Anomaly detection
- Apriori algorithm
Where you learn it
UMAP is part of the AI Engineering Program, which teaches it with notes, a hands-on lab and an exam. The first lesson is free.