Term #2,335
Machine Learning (ML)
Claim Term
Machine Learning (ML)
Reference Case 1
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Date Added
9/3/25
Created
9/3/25, 8:50 PM
Modified
9/3/25, 8:50 PM
Full Desc
“Machine Learning (ML)” refers to techniques by which models improve performance from data. ML may be supervised, semi-supervised, self-supervised, unsupervised, or reinforcement learning, and may address tasks such as classification, regression, clustering, dimensionality reduction, and segmentation. Representative models include, without limitation, neural networks, transformers, support-vector machines, decision trees/ensembles, Bayesian models, and clustering algorithms. Models may be trained by minimizing a loss function and evaluated using metrics such as accuracy, precision/recall/F1, ROC/AUC, or the like.
Applications using this term
| Matter | Usage | Notes | Actions |
|---|---|---|---|
| 71212.157.USU1 | Defined | — | App terms |