practical machine learning

USAGE SUMMARY

The phrase "practical machine learning" is correct and usable in written English.
You can use it when discussing the application of machine learning techniques in real-world scenarios or projects. Example: "In this workshop, we will focus on practical machine learning techniques that can be applied to everyday data challenges."

✓ Grammatically correct

Science

News & Media

Academia

Human-verified examples from authoritative sources

Exact Expressions

8 human-written examples

In this study, it is shown that a new practical machine learning tool known as random forest (RF) model can be used for variable importance measurements (VIMs) among various physical and mechanical properties of rocks.

Applied Soft Computing

Many studies have described building frameworks for practical machine learning using Mahout.

Journal of Big Data

In addition to his focus on geospatial research and consultancy, he has dedicated time to teaching practical machine learning for geospatial analysis and modelling.

Springer

The data science available to decipher all of the signals out there has evolved dramatically through major advances in practical machine learning (think Netflix movie recommendations).

TechCrunch

Focusing on the computing speed of the practical machine learning based human detection system at the testing (detecting) stage to reach the real-time requirement in an embedded platform, the idea of iterative computing HOG with FPGA circuit design is proposed.

Microelectronic Engineering

Today's practical machine learning models enable rapid iteration of data and deliver quick, reliable data sets.

Forbes

Human-verified similar examples from authoritative sources

Similar Expressions

52 human-written examples

It seems likely we'll hear more from TrademarkVision as its eminently practical application of machine learning tempts more IP authorities.

TechCrunch

"It's a way for big brands to bring practical applications of machine learning directly into the customer service organization," Naumov said.

TechCrunch

He thinks companies and researchers are well motivated to find ways to make automated machine learning practical.

MIT Technology Review

We will talk about practical issues in delivering machine learning solutions to problems of finance with an example of how our social topic classification system was built from concepts to actual product.

Columbia University

Here are 27 amazing practical examples of AI and machine learning.

Forbes

Expert writing Tips

Best practice

Use "practical machine learning" to denote the usefulness and applicability of machine learning techniques.

Common error

Avoid using "practical machine learning" when simply describing theoretical concepts. Reserve it for situations where the focus is on real-world application and tangible results.

Linguistic Context

The phrase "practical machine learning" functions as a descriptive term, characterizing machine learning approaches that are geared towards real-world application and tangible problem-solving. As confirmed by Ludwig, this phrase is correct and suitable for use in written English.

Expression frequency: Uncommon

Frequent in

Science

50%

News & Media

30%

Academia

20%

Less common in

Formal & Business

0%

Encyclopedias

0%

Wiki

0%

Ludwig's WRAP-UP

In summary, "practical machine learning" denotes the application of machine learning techniques to solve real-world problems. As confirmed by Ludwig AI, the phrase is grammatically correct and appropriate for use. It's most commonly found in scientific, news, and academic contexts, indicating a neutral to professional register. Alternative phrases include "applied machine learning" and "real-world machine learning". When using the phrase, focus on situations where machine learning is actively implemented and yielding tangible results.

More alternative expressions

Phrases that express similar concepts, ordered by semantic similarity:

applied machine learning

Focuses on the application aspect rather than the theoretical.

real-world machine learning

Emphasizes the context of application, highlighting its relevance to practical scenarios.

machine learning in practice

Highlights the implementation aspect of machine learning.

actionable machine learning

Stresses the usability of machine learning outcomes.

deployable machine learning

Focuses on the readiness of machine learning models for deployment.

usable machine learning

Highlights the ease of use and accessibility of machine learning techniques.

operational machine learning

Focuses on integrating machine learning into business operations.

hands-on machine learning

Emphasizes the experiential and interactive nature of learning.

machine learning implementation

Focuses on the specific act of implementing machine learning solutions.

machine learning applications

Highlights the different areas where machine learning can be utilized.

FAQs

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

You might say, "This course focuses on "practical machine learning" techniques for data analysis" or "The project aims to apply "practical machine learning" to improve predictive models".

What are some alternatives to "practical machine learning"?

Depending on the context, you can use alternatives like "applied machine learning", "real-world machine learning", or "machine learning in practice".

What does "practical machine learning" refer to?

It refers to the application of machine learning techniques in real-world scenarios to solve tangible problems, as opposed to purely theoretical research.

Is there a difference between "theoretical machine learning" and "practical machine learning"?

Yes. "Theoretical machine learning" deals with the mathematical foundations and algorithms, while "practical machine learning" involves implementing and deploying these algorithms to address specific problems in industries and research.