Caesar AI Atlas

Dataset (набор данных)

Also known as: dataset (data set) · Model dataset

Caesar AI Atlas Definition

Dataset — это collection of related data records with a shared format or organizing principle. В машинном обучении datasets используются для train, validate, test или evaluate models, а их quality, diversity, labeling и representativeness сильно влияют на system performance.

Other Definitions

Dataset (набор данных) Source

A structured collection of data, usually presented as a table, where each column represents a different variable and each row corresponds to a given record. The data in the table are the values for each of the variables.

Dataset (набор данных) Source

The dataset is used to train an AI model. It is made up of smaller datasets - train dataset, validation dataset and test dataset.

Dataset (набор данных) Source

Amazon Personalize: A container for the data used by Amazon Personalize. There are three types of Amazon Personalize datasets: Users, Items, and Interactions.

Also Referenced In

ISO/IEC 22989 — Artificial Intelligence Concepts and TerminologyCNET — Artificial Intelligence Terms GlossaryTELUS Digital — 50 Beginner AI TermsDeakin University — AI Glossary

Related Terms

Машинное обучениеОбучающие данныеНабор данных / DatasetТестовая выборкаВалидационные данныеУправляемый набор данных