machine learning methodologies

USAGE SUMMARY

The phrase "machine learning methodologies" is correct and usable in written English.
You can use it when discussing various approaches or techniques used in the field of machine learning. Example: "Researchers are constantly developing new machine learning methodologies to improve the accuracy of predictive models."

✓ Grammatically correct

Science

News & Media

Human-verified examples from authoritative sources

Exact Expressions

21 human-written examples

Above other machine learning methodologies, deep learning has become particularly attractive for mining patterns from large data sets.

TechCrunch

In the past years, many authors have considered application of machine learning methodologies to effect robot learning by demonstration.

Robotics and Autonomous Systems

Within this framework, action analysis is a highly challenging issue that involves both computer vision and machine learning methodologies.

EURASIP Journal on Image and Video Processing

Time-frequency (TF) based machine learning methodologies can improve the design of classification systems for non-stationary signals.

Knowledge-Based Systems

The problem of solar irradiance forecasting can be well addressed by machine learning methodologies over historical data set.

Renewable and Sustainable Energy Reviews

Hence, time-frequency based machine learning methodologies can improve the design of automated system for these signals.

Computer Methods and Programs in Biomedicine

Human-verified similar examples from authoritative sources

Similar Expressions

39 human-written examples

Random forest is a successful machine learning methodology and was used for setting up all models.

EURASIP Journal on Advances in Signal Processing

Given the NLP and basic machine learning methodology of the paper, these numbers should be perceived as a lower bound on disclosures.

TechCrunch

Without resorting to complex statistical approaches, the study provides a machine learning methodology to resolve this subject.

Computers & Industrial Engineering

Back propagation artificial natural network (BPANN) is a well known and widely used machine learning methodology in the field of remote sensing.

Advances in Space Research

In this study, a simple machine learning methodology was adopted for creation of classifiers, which has shown high performance in previous tests.

EJNMMI Research

Expert writing Tips

Best practice

When writing about specific machine learning methods, consider specifying the particular techniques (e.g., neural networks, support vector machines) for greater clarity.

Common error

Avoid using "machine learning methodologies" when discussing a single, specific technique. Instead, refer to the particular method by name to avoid ambiguity.

Linguistic Context

The phrase "machine learning methodologies" functions as a noun phrase, typically serving as the subject or object of a sentence. Ludwig AI indicates its use in describing various approaches and techniques applied within the field of machine learning. Example: Time-frequency (TF) based "machine learning methodologies" can improve the design of classification systems for non-stationary signals.

Expression frequency: Uncommon

Frequent in

Science

75%

News & Media

15%

Formal & Business

10%

Less common in

Encyclopedias

0%

Wiki

0%

Reference

0%

Ludwig's WRAP-UP

In summary, "machine learning methodologies" is a grammatically sound and usable phrase for discussing various approaches in machine learning. Ludwig AI confirms this. Although not extremely frequent, it appears consistently in scientific and technical contexts. When writing about specific techniques, it's often better to name the specific method for clarity. Alternatives include "machine learning techniques" and "machine learning approaches". This phrase is particularly suited for formal and scientific writing.

More alternative expressions

Phrases that express similar concepts, ordered by semantic similarity:

machine learning techniques

Replaces "methodologies" with "techniques", focusing on the specific methods used in machine learning.

machine learning approaches

Substitutes "methodologies" with "approaches", highlighting the overall strategies employed in machine learning.

machine learning algorithms

Focuses specifically on the algorithms used within machine learning.

machine learning methods

A broader term that encompasses all methods used in machine learning, including methodologies, techniques, and algorithms.

deep learning frameworks

Specifies a subfield of machine learning (deep learning) and refers to its frameworks.

AI-driven strategies

Emphasizes the role of artificial intelligence in driving the strategies.

computational learning methods

Focuses on the computational aspect of learning.

statistical learning techniques

Highlights the statistical underpinnings of many machine learning methods.

predictive modeling techniques

Focuses on the predictive aspect of machine learning.

data mining processes

Emphasizes the process of extracting knowledge from data, which often involves machine learning.

FAQs

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

You might say, "Researchers are exploring various "machine learning methodologies" to improve image recognition" or "The effectiveness of different "machine learning methodologies" depends on the dataset".

What is a good substitute for "machine learning methodologies"?

Depending on the context, you could use alternatives like "machine learning techniques", "machine learning approaches", or "machine learning algorithms".

Is there a difference between "machine learning methods" and "machine learning methodologies"?

While similar, "machine learning methods" is a broader term encompassing all techniques, while ""machine learning methodologies"" often implies a more structured or systematic approach to applying those techniques.

What are some examples of "machine learning methodologies" used in practice?

Examples include supervised learning methodologies for classification, unsupervised learning methodologies for clustering, and reinforcement learning methodologies for decision-making problems.