machine learning

American  

[muh-sheen lur-ning] / məˈʃin ˌlɜr nɪŋ /

noun

Computers, Digital Technology.

1. the capacity of a computer to process and evaluate data beyond programmed algorithms, through contextualized inference (often used attributively).

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machine learning British  

noun

1. a branch of artificial intelligence in which a computer generates rules underlying or based on raw data that has been fed into it

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Etymology

Origin of machine learning

First recorded in 1955–60

Example Sentences

See Examples For:

machine learning

Today's leading machine learning systems are built from highly simplified artificial units.

From Science Daily ● Aug. 13, 2026

The researchers used machine learning to analyze the resulting patterns of brain activity.

From Science Daily ● Aug. 11, 2026

The AI researchers aim to “automate machine learning, science, and engineering to accelerate discoveries and progress,” Dean said in a post on X.

From MarketWatch ● Aug. 5, 2026

It also requires analysts to use machine learning to analyze and detect risks, including through AI-powered “anticipatory threat intelligence,” which identifies trends or patterns of potential threats before they come to fruition.

From The Wall Street Journal ● Aug. 4, 2026

The methods I use have evolved since, from machine learning to deep learning to what we have today.

From MarketWatch ● Jul. 27, 2026

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