Caesar AI Atlas

Обучающие данные

Also known as: Training datasets · training set

Caesar AI Atlas Definition

Обучающие данные — это набор данных, используемый для обучения или подгонки модели машинного обучения путем настройки ее обучаемых параметров. Их качество, объем, разнообразие, разметка и provenance существенно влияют на производительность, надежность и compliance-позицию полученной модели.

Other Definitions

Обучающие данные Source

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

Обучающие данные Source

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

Обучающие данные 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 GlossaryAI Pedagogy ProjectUniversity of North Texas — AI TermsUniversity 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.

Related Terms

Dataset (набор данных)Модель машинного обученияМашинное обучениеТестовая выборкаВалидационные данныеПроизводительность