Data

DAY-tuh /ˈdeɪtə/
nounB1SATTOEFLIELTS
formaltechnicalgeneral

Facts and statistics collected together for reference or analysis, especially by a computer.

In AI and Machine Learning, data is the raw material from which models learn. It can be structured (like in spreadsheets) or unstructured (like images, text, or audio). While technically plural (singular 'datum'), 'data' is commonly used as a singular mass noun in everyday English and technical contexts.

The story behind the word. The word 'Data' is the plural of `datum`, which comes directly from Latin, meaning 'something given.' It's the past participle of the verb `dare`, 'to give.' Originally, it referred to facts or information given as a basis for calculation or discussion. Over time, especially with the rise of computing, 'data' became a collective noun for all such collected information.

Word relationships

  • information: Broader term; data is raw, information is processed data.
  • facts: Refers to verified truths, while data can be raw observations.

Commonly confused with

  • information: Data is raw facts and figures; information is data that has been processed, organized, and structured to provide context and meaning.

Word family

  • datum (noun): A single piece of information (singular of data).
  • data-driven (adjective): Based on or guided by data.

Collocations

  • big data
  • collect data
  • analyze data
  • raw data
  • data set

Example sentences

  • "The company collects vast amounts of customer Data to personalize marketing campaigns." Discussing the importance of information.
  • "All experimental Data must be carefully recorded and analyzed to ensure valid conclusions." A scientific report.

Memory hook

Think of 'data' as the 'raw facts' that are 'given' to a computer to process. Given Facts

When not to use

While 'data' can refer to any information, in AI contexts, it specifically implies information used for computational analysis or learning, not just general facts.

Fun facts

  • The singular form 'datum' is rarely used outside of very formal or academic contexts today.
  • The term 'big data' emerged in the early 2000s to describe datasets too large or complex for traditional data processing applications.

Related words

Training, Bias

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