UMAP
UMAP is a dimensionality reduction technique used to visualize high-dimensional data in lower dimensions.
181 plain-language definitions from the TiorAI glossary, filed under Machine Learning. Every entry opens with a one-sentence definition, then explains where the term is used.
UMAP is a dimensionality reduction technique used to visualize high-dimensional data in lower dimensions.
Undersampling is a technique used in data analysis to balance datasets by reducing the number of majority class examples.
Unsupervised learning is a type of machine learning where a model finds patterns and structure in data without using labeled examples.
Upper Confidence Bound (UCB) is an algorithmic approach used in multi-armed bandit problems to balance exploration and exploitation by selecting options with the highest potential reward.