models data

USAGE SUMMARY

The phrase "models data" is correct and usable in written English.
It can be used in contexts related to data analysis, statistics, or machine learning, where one describes the process of creating a representation of data through models. Example: "The research team developed several algorithms that effectively models data to predict future trends."

✓ Grammatically correct

Academia

Science

News & Media

Human-verified examples from authoritative sources

Exact Expressions

60 human-written examples

But what we need is models, data, predictions to really talk about this.

The New Yorker

Improving the predictive value of interventional animal models data.

Yale University

Critical examination of models, data and theory is not a fringe activity.

The Washington Post

This concentration helps students to understand formal models, data and policy issues surrounding networked systems.

Cornell University

All Excel related knowledge, can help manage large models, data management and data hygiene best practices.

University of California, Berkeley

MCA represents and models data sets as clouds of points in a multidimensional Euclidean space.

Stanford University

All major frameworks, hundreds of models, data sets, and many major hardware types are available under it.

Harvard University

Networks, Crowds, and Markets – This concentration helps students to understand formal models, data and policy issues surrounding networked systems.

Cornell University

Convince us that detection of a human fingerprint isn't sensitive to uncertainties in models, data or the statistical methods in your tool kit.

The Washington Post

The models, data and software have been tested on various PTC-based reactive systems.

Computer Aided Chemical Engineering

Abstract: There is a broad spectrum of astro-statistical challenges, in this age of huge, complex, and computer-intensive models, data, instruments, and questions.

Harvard University

Expert writing Tips

Best practice

When discussing the relationship between models and data, clearly specify whether the models are used to generate, analyze, or predict data. This enhances clarity and precision in technical writing.

Common error

Ensure that the context makes it clear whether you're referring to models of data (representations) or models for data (tools for analysis). Lack of clarity can lead to misinterpretation.

Linguistic Context

The phrase "models data" functions primarily as a noun phrase, often serving as the subject or object of a sentence. It describes the application of models to data, encompassing various scientific and analytical processes. Ludwig AI confirms its usability in various contexts.

Expression frequency: Very common

Frequent in

Science

55%

Academia

30%

News & Media

10%

Less common in

Formal & Business

3%

Wiki

2%

Encyclopedias

0%

Ludwig's WRAP-UP

The phrase "models data" is a grammatically sound and frequently used expression, particularly in scientific and academic contexts. It succinctly describes the process of applying models to datasets for analysis, prediction, or representation. Ludwig AI analysis confirms its correctness and usability, highlighting its prevalence in various scholarly and technical domains. While commonly used, clarity in context is essential to avoid ambiguity about the model's specific role in relation to the data. Alternative phrases such as "data modeling" or "predictive models" can provide additional clarity depending on the intended meaning.

More alternative expressions

Phrases that express similar concepts, ordered by semantic similarity:

data modeling

This alternative emphasizes the process of creating the model rather than the data itself.

model datasets

This alternative focuses on the datasets used to build or validate models.

data simulation

This option highlights the act of simulating data using models.

predictive models

This alternative emphasizes the predictive capability of models.

statistical models

This alternative specifies the type of models used.

computational models

This alternative focuses on models implemented through computation.

mathematical models

This alternative specifies models expressed mathematically.

data analysis models

This alternative emphasizes the use of models for analyzing data.

models for data

This alternative rephrases to clarify the model's purpose in relation to the data.

patterns in data

This shifts the focus from models to the patterns identified within the data.

FAQs

How is "models data" used in research?

In research, "models data" often refers to the process where models are created or applied to datasets for analysis, prediction, or simulation. This approach is prevalent in fields like statistics, machine learning, and computational science.

What does it mean to "model data"?

To "model data" signifies creating a representation or abstraction of data using mathematical, statistical, or computational techniques. This allows for understanding patterns, making predictions, or simulating scenarios. Check out alternatives like "data modeling" or "data simulation".

What's the difference between "models data" and "data analysis"?

"Models data" focuses on using models to represent or simulate data, whereas "data analysis" is a broader term encompassing various techniques to examine, clean, transform, and draw conclusions from data. While models can be a part of data analysis, the latter includes methods beyond just model-based approaches.

Can I use "models data" interchangeably with "data sets"?

No, "models data" and "data sets" are not interchangeable. "Data sets" refers to collections of data, while "models data" refers to the process or outcome of using models with data. However, you can use alternatives like "model datasets" in place of "models data" when it makes sense.