Synthetic Data

Intermediate

Artificially created data used to train/test models; helpful for privacy and coverage, risky if unrealistic.

Full Definition

Artificially created data used to train/test models; helpful for privacy and coverage, risky if unrealistic.

Keywords

generated samples

Domains

Foundations & Theory

Related Terms

Federated Learning related to

Training across many devices/silos without centralizing raw data; aggregates updates, not data.

 PII related to

Information that can identify an individual (directly or indirectly); requires careful handling and compliance.

 Data Governance related to

Processes and controls for data quality, access, lineage, retention, and compliance across the AI lifecycle.

 Model Card related to

Standardized documentation describing intended use, performance, limitations, data, and ethical considerations.

 Inter-Annotator Agreement related to

Measure of consistency across labelers; low agreement indicates ambiguous tasks or poor guidelines.

 Active Learning related to

Selecting the most informative samples to label (e.g., uncertainty sampling) to reduce labeling cost.

 Curriculum Learning related to

Ordering training samples from easier to harder to improve convergence or generalization.

 Data Augmentation related to

Expanding training data via transformations (flips, noise, paraphrases) to improve robustness.

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