What does Data Labeling mean? Definition | AI Understanding

Definition

The process of assigning tags or target outputs to raw data for supervised learning.

Related terms

Unsupervised Learning

Learning patterns from unlabeled data without explicit target outputs.

Algorithmic Bias

Systematic unfairness in model outputs caused by skewed data, assumptions, or modeling choices.

Feature Extraction

Converting raw data into informative features that a model can use.

Multimodal Model

A model that can process or generate multiple data types such as text, image, and audio.

Self-Supervised Learning

Learning representations from unlabeled data by predicting masked or transformed parts.

Supervised Learning

Training a model with labeled examples that map inputs to known outputs.

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See also

Data Drift Dataset Data Augmentation Decision Boundary Cross-Entropy Loss Decision Tree Convolutional Neural Network (CNN)Deep Learning

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