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CEO of Professional Science Editing for Scientists @ prosciediting.com

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machine learning experts

Grammar usage guide and real-world examples

USAGE SUMMARY

The phrase "machine learning experts" is correct and usable in written English.
It can be used when referring to individuals who have specialized knowledge and skills in the field of machine learning. Example: "The conference will feature several machine learning experts who will share their insights on the latest advancements in the field."

✓ Grammatically correct

News & Media

Academia

Science

Human-verified examples from authoritative sources

Exact Expressions

49 human-written examples

Therefore, while business experts are coming up with problems, machine learning experts cannot always keep up.

For machine learning experts, the problem of how to enhance fairness has often focused on interpretability.

For another, machine learning experts often didn't build their work around the final objective deriving business value.

We've done multiple iterations of this deck incorporating feedback from machine learning experts and a range of users.

The frontrunner is a seven-person team, and its members are statisticians, machine learning experts and computer engineers from the United States, Austria, Canada and Israel.

When leaders in companies, non-profits, or governments invest in artificial intelligence, much of their attention goes to hiring machine learning experts, or paying for tools.

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Human-verified similar examples from authoritative sources

Similar Expressions

11 human-written examples

In this paper, a machine learning expert, providing a quality score is proposed.

The computer vision and machine learning expert will lead the new artificial intelligence research lab.

The two other research leaders alongside Watts in the new lab are computational economist David Pennock and machine learning expert John Langford.

With Create ML, you can train a model without being a machine learning expert.

News & Media

TechCrunch

He teamed up with machine learning expert Max Mizotin, who built the platform.

News & Media

TechCrunch
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Expert writing Tips

Best practice

Use "machine learning experts" when referring to individuals with a deep understanding of machine learning algorithms and their practical applications, differentiating them from general AI practitioners.

Common error

Avoid using "machine learning experts" interchangeably with "data scientists" without considering the nuances. While there's overlap, machine learning expertise focuses specifically on algorithms and models, whereas data science encompasses broader data handling, analysis, and interpretation skills.

Antonio Rotolo, PhD - Digital Humanist | Computational Linguist | CEO @Ludwig.guru

Antonio Rotolo, PhD

Digital Humanist | Computational Linguist | CEO @Ludwig.guru

Source & Trust

84%

Authority and reliability

4.5/5

Expert rating

Real-world application tested

Linguistic Context

The phrase "machine learning experts" functions as a noun phrase, specifically a descriptive label. It identifies individuals possessing specialized skills and knowledge in machine learning. Ludwig confirms this usage through numerous examples, where it's consistently used to denote professionals in the field.

Expression frequency: Common

Frequent in

News & Media

40%

Academia

30%

Science

20%

Less common in

Formal & Business

10%

Encyclopedias

0%

Wiki

0%

Ludwig's WRAP-UP

The phrase "machine learning experts" is a grammatically correct and commonly used term to describe professionals skilled in machine learning. Ludwig's analysis reveals that this phrase functions as a descriptive noun phrase and is employed across various contexts, including news, academia, and science. While the phrase is generally neutral in tone, it can lean towards more formal usage in academic settings. Ludwig shows the term is mostly used in News & Media, Academia, and Science, signaling its relevance in both technical and general contexts. Be mindful to distinguish "machine learning experts" from the broader category of data scientists, focusing on their specific expertise in algorithms and models. Alternatives include "AI specialists" or "machine learning engineers" depending on the context.

FAQs

How does the role of "machine learning experts" differ from that of data scientists?

While both roles involve working with data, "data scientists" typically handle broader data analysis and interpretation tasks, whereas "machine learning experts" specialize in developing and implementing machine learning algorithms and models.

What skills are essential for becoming "machine learning experts"?

Essential skills include a strong foundation in mathematics and statistics, proficiency in programming languages like Python or R, knowledge of machine learning algorithms, and the ability to apply these algorithms to solve real-world problems.

In what contexts is it most appropriate to refer to someone as "machine learning experts"?

The term "machine learning experts" is suitable in professional, academic, and technical contexts when highlighting an individual's specialized knowledge and skills in the field of machine learning, particularly in algorithm development and model implementation.

What are some alternative titles for "machine learning experts"?

Depending on the specific context, alternative titles might include "AI specialists", "machine learning engineers", "data science experts", or "algorithm specialists".

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Source & Trust

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Authority and reliability

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Expert rating

Real-world application tested

Most frequent sentences: