machine-learning
/məˈʃiːn ˈlɜː.nɪŋ/ IELTSAcademic
noun
The use of computer systems that learn from data and improve at tasks without being fully programmed each time.
- Machine-learning helps apps recognise faces.
- Our team uses machine-learning to spot fraud.
- Machine-learning can improve with more data.
Adinary Nuance
Machine-learning is broader than artificial intelligence, which is the larger field of making computers seem smart. It is also different from data science, which focuses more on finding useful patterns in data. Use machine-learning when you mean the learning method itself, not the whole AI system or the wider data work.
In other languages
- Vietnamese
- học máy
- Spanish
- aprendizaje automático
- Chinese
- 机器学习
- Japanese
- 機械学習
- Korean
- 기계 학습
Etymology
The term came into English in the late 20th century from computer science. It combines machine and learning to describe computers that learn from examples.
Common phrases
machine-learning modelmachine-learning algorithmmachine-learning systemmachine-learning application
Synonyms
Related words
Frequently asked questions
- Is machine-learning the same as AI?
- No. Machine-learning is one part of AI, not the whole field.
- Is machine-learning formal or technical?
- It is technical and common in business, tech, and academic writing.
- How do I use machine-learning in a sentence?
- Use it before a noun: machine-learning model, machine-learning system.