Données d’entraînement

Also known as: Training datasets · training set

Caesar AI Atlas Definition

Les données d’entraînement sont le jeu de données utilisé pour enseigner ou ajuster un modèle d’apprentissage automatique en modifiant ses paramètres apprenables. Leur qualité, quantité, diversité, étiquetage et provenance influencent fortement les performances, la fiabilité et la posture de conformité du modèle obtenu.

Other Definitions

Données d’entraînement Source

‘data used to train a machine learning model’ ISO/IEC 22989.

Données d’entraînement Source

Data used for training an AI system through fitting its learnable parameters.

Données d’entraînement Source

Amazon Machine Learning: The observations that you provide to Amazon Machine Learning to train and evaluate a machine learning model and generate predictions.

Also Referenced In

Zendesk — Generative AI Glossary AI Pedagogy Project University of North Texas — AI Terms University of Montevallo — AI Glossary

Concept Comparisons

Common ConfusionMachine Learning

Training Data vs Test Set

A side-by-side comparison of Training Data and Test Set. Understand why the data used to fit a model must be separated from the reserved data used to evaluate it.

Common ConfusionMachine Learning

Training Data vs Validation Data

A side-by-side comparison of Training Data and Validation Data. Understand how data used to fit the model differs from data used during development to tune choices and detect generalization problems.

Data PrivacyData Privacy

Production Data vs Training Data

A side-by-side comparison of Production Data and Training Data. Understand how the concepts differ, when each term applies, and why the distinction matters for AI governance, evaluation, or system design.

Données d’entraînement

Caesar AI Atlas Definition

Other Definitions

Also Referenced In

Concept Comparisons

Training Data vs Test Set

Training Data vs Validation Data

Production Data vs Training Data

Related Terms