machine learning algorithms

USAGE SUMMARY

The phrase "machine learning algorithms" is correct and usable in written English.
You can use it when referring to algorithms used in the field of computer science and artificial intelligence, like when discussing the way computers can be programmed to recognize patterns and make decisions. For example, "The team of scientists used advanced machine learning algorithms to develop a system that could diagnose illnesses more accurately."

✓ Grammatically correct

Science

News & Media

Formal & Business

Human-verified examples from authoritative sources

Exact Expressions

54 human-written examples

Machine learning algorithms.

New Zealand Journal of Forestry Science

The right machine learning algorithms?

TechCrunch

Ten python scripts implementing the different machine learning algorithms.

Journal of Cheminformatics

Automated machine learning algorithms work well in certain environments.

Brain Informatics

It supplies generalization guarantees for many influential machine learning algorithms.

Journal of Inequalities and Applications

This data scarcity might render standard machine learning algorithms inapplicable.

Journal of Cheminformatics

Human-verified similar examples from authoritative sources

Similar Expressions

6 human-written examples

Dealing with machine-learning algorithms is tricky.

TechCrunch

In some ways, machine-learning algorithms are more like people.

TechCrunch

In contrast, our literature review showed that machine-learning algorithms have so far been underutilized.

Human Genetics

The experiments are done on two epidemiological data sets using four machine-learning algorithms.

BMC Medical Informatics and Decision Making

Bioinformatics and machine-learning algorithms have also been used to design biomarker panels [ 101, 102].

Alzheimer's Research and Therapy

Expert writing Tips

Best practice

Clearly define the problem you're addressing and the specific performance metrics you're using to evaluate the effectiveness of the algorithms.

Common error

Avoid vague statements about the general utility of "machine learning algorithms" without specifying the context or the type of algorithm. Be precise about what they are used for and how they perform in a particular application.

Linguistic Context

The phrase "machine learning algorithms" primarily functions as a noun phrase. It identifies a specific category of computational methods used in artificial intelligence. Ludwig AI confirms its grammatical correctness and usability in written English.

Expression frequency: Very common

Frequent in

Science

85%

News & Media

10%

Formal & Business

5%

Less common in

Academia

0%

Encyclopedias

0%

Wiki

0%

Ludwig's WRAP-UP

In summary, the phrase "machine learning algorithms" is a grammatically sound and frequently used term, predominantly in scientific and technical contexts. Ludwig AI confirms that it's a correct and usable phrase. The phrase describes a set of computational methods used across various fields for data analysis and automated decision-making. When writing about these algorithms, it is best to be specific about the type and application to avoid overgeneralization. Common alternative phrases include "automated learning algorithms" and "computational learning techniques". Remember to specify the algorithm type and clearly define performance metrics when discussing applications.

More alternative expressions

Phrases that express similar concepts, ordered by semantic similarity:

automated learning algorithms

Focuses on the automation aspect of the learning process in algorithms.

computational learning techniques

Highlights the computational methods used in learning processes.

algorithmic learning systems

Emphasizes the systemic nature of learning algorithms.

data-driven learning methods

Focuses on the data-dependent nature of the learning approach.

predictive modeling algorithms

Highlights the predictive capabilities of these algorithms.

statistical learning approaches

Emphasizes the statistical foundations of the learning methods.

artificial intelligence algorithms

Broader term that includes machine learning as a subset.

pattern recognition algorithms

Focuses on the pattern recognition aspect of machine learning.

deep learning architectures

Refers to a specific type of machine learning involving neural networks.

intelligent learning systems

Highlights the intelligence aspect of the learning system.

FAQs

How can I effectively use "machine learning algorithms" in a sentence?

Use "machine learning algorithms" to describe the specific methods employed for data analysis, prediction, or automation, such as, "The study employed advanced "machine learning algorithms" to identify patterns in genomic data."

What are some alternatives to saying "machine learning algorithms"?

Depending on the context, you can use phrases like "automated learning algorithms", "computational learning techniques", or "data-driven learning methods" to convey a similar meaning.

What is the difference between "machine learning algorithms" and "artificial intelligence algorithms"?

"Artificial intelligence algorithms" is a broader term encompassing various techniques, while ""machine learning algorithms"" specifically refers to algorithms that allow systems to learn from data without explicit programming.

In what contexts are "machine learning algorithms" most commonly applied?

"Machine learning algorithms" are frequently used in data mining, predictive modeling, and automation across various fields like healthcare, finance, and engineering. They're particularly useful in situations with large datasets and complex patterns that are difficult for humans to discern.