machine learning methods

USAGE SUMMARY

"machine learning methods" is correct and usable in written English.
You can use it any time you are discussing the use of machines for learning or artificial intelligence techniques. For example, "Computer scientists are researching advanced machine learning methods to make data analysis more efficient."

✓ Grammatically correct

Science

Human-verified examples from authoritative sources

Exact Expressions

60 human-written examples

Involved approaches include complementary machine learning methods.

Journal of Cheminformatics

Three machine learning methods were used to predict activity labels.

Journal of Cheminformatics

Machine learning methods exploit this type of semantics.

Journal of the Brazilian Computer Society

This format is not acceptable for any machine learning methods.

Journal of Cheminformatics

Several machine learning methods have been used for microcalcification detection.

EURASIP Journal on Advances in Signal Processing

Fusion of machine learning methods benefits in decision support systems.

Neural Networks

For classification, we apply machine learning methods with rejection option.

Computers & Electrical Engineering

Section 3 describes our two proposed machine learning methods.

BMC Genomics

Besides, the proposed model also outperforms other machine learning methods.

BMC Medical Informatics and Decision Making

Moreover, our method outperforms some machine learning methods and performs as well as a method which is obtained by combining the outputs of eight machine learning methods.

BMC Genomics

This paper gives an overview on machine learning methods, describing the methodology of each machine learning methods and its application in detecting gene-gene and gene-environment interactions.

BioMed Research International

Expert writing Tips

Best practice

When discussing specific applications of "machine learning methods", clearly identify the type of algorithm used, such as support vector machines, neural networks, or decision trees.

Common error

Avoid using "machine learning methods" as a one-size-fits-all solution. Specify the appropriate method based on the data type and the problem you are trying to solve. Not all methods are created equal.

Linguistic Context

The phrase "machine learning methods" functions as a noun phrase that refers to a collection of techniques used to enable computers to learn from data without being explicitly programmed. As Ludwig AI explains, this phrase is grammatically correct and usable in written English.

Expression frequency: Very common

Frequent in

Science

90%

Formal & Business

5%

News & Media

3%

Less common in

Academia

1%

Encyclopedias

0.5%

Wiki

0.5%

Ludwig's WRAP-UP

In summary, "machine learning methods" is a grammatically sound and highly prevalent term, especially within scientific and technical domains. Ludwig AI confirms its correct usage. When employing this phrase, ensure you're specific about the algorithms involved to avoid overgeneralization. The examples found by Ludwig showcase its usage in various contexts, further emphasizing its versatility and importance in contemporary data analysis and predictive modeling. Remember to choose the most appropriate method for your specific task to maximize effectiveness.

More alternative expressions

Phrases that express similar concepts, ordered by semantic similarity:

computational learning approaches

Highlights the computational aspect of machine learning.

algorithmic learning techniques

Emphasizes the algorithmic aspect of machine learning.

statistical learning algorithms

Focuses on the statistical foundation of many machine learning techniques.

automated learning processes

Focuses on the automation aspect of machine learning.

adaptive learning systems

Highlights the adaptive nature of these learning systems.

predictive modeling techniques

Emphasizes the predictive capabilities of these methods.

pattern recognition techniques

Emphasizes the pattern recognition capabilities of machine learning.

data-driven learning strategies

Highlights the reliance on data for learning and prediction.

intelligent data analysis

Highlights the intelligent analysis performed on data.

artificial intelligence algorithms

Broadens the scope to include the wider field of artificial intelligence.

FAQs

How can I use "machine learning methods" in a sentence?

You can use "machine learning methods" to describe a variety of techniques used to allow computers to learn from data without explicit programming. For example, "Researchers are exploring how "deep learning", a subset of "machine learning methods", can improve image recognition".

What are some alternatives to "machine learning methods"?

Depending on the context, you could use alternatives such as "algorithmic learning techniques", "computational learning approaches", or "statistical learning algorithms".

Are "machine learning methods" only used in computer science?

While frequently used in computer science, "machine learning methods" are applied across various disciplines, including biology, medicine, finance, and engineering. Their adaptability makes them versatile tools for data analysis and prediction.

What is the difference between "machine learning methods" and traditional statistical analysis?

"Machine learning methods" often focus on prediction and automation, while traditional statistical analysis emphasizes inference and understanding underlying relationships. However, there's increasing overlap, with machine learning incorporating statistical principles and vice versa.