machine learning

USAGE SUMMARY

"machine learning" is correct and usable in written English.
You can use it to reference the application of algorithms to data collection and interpretation so that the program being used can teach itself to adapt and improve its own results. For example: "The new software utilizes machine learning to better identify customer needs and deliver a more personalized experience."

✓ Grammatically correct

Academia

News & Media

Science

Human-verified examples from authoritative sources

Exact Expressions

59 human-written examples

That's machine learning.

MIT Technology Review

Machine Learning (JMLR, 2002).

Nature

Could machine learning help?

Harvard Business Review

Automated machine learning.

Harvard Business Review

Youngsuk Park – machine learning.

Stanford University

Jongho Kim – machine learning.

Stanford University

Large scale machine learning.

Stanford University

Talk more about machine learning.

MIT Technology Review

Data mining and machine learning.

MIT Technology Review

B1 New chips propel machine learning.

The Guardian

Human-verified similar examples from authoritative sources

Similar Expressions

1 human-written examples

Machine Learn.

Nature

Expert writing Tips

Best practice

When writing about "machine learning", be specific about the type of algorithms or techniques being used to provide clarity and context.

Common error

Don't use "machine learning" as a blanket term without specifying the specific application or method. For example, instead of saying "We use machine learning", specify "We use deep learning for image recognition".

Linguistic Context

Machine learning functions primarily as a noun phrase. It's used to name a field of study and a set of techniques. As Ludwig AI shows, it frequently appears as a subject or object in sentences describing research, applications, and impacts in diverse domains.

Expression frequency: Very common

Frequent in

Academia

32%

News & Media

31%

Science

37%

Less common in

Formal & Business

0%

Encyclopedias

0%

Wiki

0%

Ludwig's WRAP-UP

In summary, "machine learning" is a very common and grammatically correct noun phrase used across diverse fields like academia, news media, and science. As Ludwig AI confirms, the phrase is actively used to describe algorithms that allow computers to learn. While the phrase maintains a formal tone in academic and scientific contexts, its register adapts to neutral or professional language based on the source. When using the term, specify the algorithm or method to avoid overgeneralization. For alternatives, consider "automated learning", "statistical learning", or "algorithmic learning" depending on the context.

More alternative expressions

Phrases that express similar concepts, ordered by semantic similarity:

automated learning

Focuses on the automation aspect of the learning process.

statistical learning

Emphasizes the statistical foundations and methods used in machine learning.

algorithmic learning

Highlights the use of algorithms as the core component of the learning process.

deep learning

A specific type of machine learning using neural networks with many layers.

predictive analytics

Focuses on the application of machine learning for making predictions.

computational learning

Focuses on the computational aspects and theoretical foundations of learning systems.

data mining

Emphasizes the process of discovering patterns and insights from large datasets.

artificial intelligence

A broader term encompassing machine learning as a subset, focusing on intelligent systems.

pattern recognition

Highlights the ability of machines to identify patterns in data.

intelligent systems

Broader scope, referring to systems capable of intelligent behavior; machine learning is often a key component.

FAQs

How is "machine learning" used in a sentence?

You can use "machine learning" to describe the process of training algorithms to learn from data, as in "The system uses "machine learning" to improve its predictions over time."

What are some alternative terms for "machine learning"?

Depending on the context, you can use alternatives like "automated learning", "statistical learning", or "algorithmic learning".

What's the difference between "machine learning" and "artificial intelligence"?

"Artificial intelligence" is a broader concept that encompasses creating intelligent systems, while "machine learning" is a specific approach to achieving AI by training algorithms on data.

In what fields is "machine learning" commonly applied?

"Machine learning" is applied in various fields, including data science, healthcare, finance, and engineering, for tasks such as "predictive analytics", "pattern recognition", and "data mining".