Trainingsdaten

Also known as: Training datasets · training set

Caesar AI Atlas Definition

Trainingsdaten sind der Datensatz, der verwendet wird, um ein Machine-Learning-Modell durch Anpassung seiner lernbaren Parameter zu lehren oder anzupassen. Qualität, Menge, Vielfalt, Labeling und Provenienz beeinflussen stark die Leistung, Zuverlässigkeit und Compliance-Position des resultierenden Modells.

Other Definitions

Trainingsdaten Source

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

Trainingsdaten Source

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

Trainingsdaten 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.

Trainingsdaten

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