machine learning — a type of artificial intelligence where computers learn and improve from experience without being explicitly programmed
Part of speech: NOUN
Definition: a type of artificial intelligence where computers learn and improve from experience without being explicitly programmed
Pronunciation (IPA): /məˈʃiːn ˈlɜːrnɪŋ/
Example Sentences
- My phone's autocorrect uses machine learning to predict my embarrassing typos before I even make them.
- Machine learning is revolutionizing healthcare by helping doctors diagnose diseases more accurately.
- Thanks to machine learning, my music app knows I have terrible taste and keeps suggesting the same cheesy pop songs.
machine learning
NOUN[/məˈʃiːn ˈlɜːrnɪŋ/]
a type of artificial intelligence where computers learn and improve from experience without being explicitly programmed
a type of artificial intelligence where computers learn and improve from experience without being explicitly programmed
Her burning passion and yearning drive machine learning forward!
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🎤Pronunciation
🌳Etymology
Origin
The term 'machine learning' was coined in 1959 by Arthur Samuel, an IBM researcher pioneering artificial intelligence. It combines 'machine' (referring to computers) and 'learning' (the acquisition of knowledge through experience), expressing the revolutionary concept that computers could acquire and improve knowledge from data without being explicitly programmed for each task.
Breakdown
machine (computing device) + learning (process of acquiring knowledge or skill from experience or instruction). The compound term describes systems designed to identify patterns and make predictions by processing data iteratively.
🎵Rhyme
🔗Collocations
📝Examples
“My phone's autocorrect uses machine learning to predict my embarrassing typos before I even make them.”
“Machine learning is revolutionizing healthcare by helping doctors diagnose diseases more accurately.”
“Thanks to machine learning, my music app knows I have terrible taste and keeps suggesting the same cheesy pop songs.”
“Students need to understand machine learning concepts to succeed in the digital economy.”
📚Related Words
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