machine learning skills

USAGE SUMMARY

The phrase "machine learning skills" is correct and usable in written English.
You can use it when referring to the abilities or expertise related to machine learning, often in a professional or educational context. Example: "To excel in data science, having strong machine learning skills is essential."

✓ Grammatically correct

News & Media

Science

Human-verified examples from authoritative sources

Exact Expressions

1 human-written examples

According to a representative, job postings that reference AI and machine learning skills have increased more than 2,000% on ZipRecruiter since January 2016.

Vice

Human-verified similar examples from authoritative sources

Similar Expressions

59 human-written examples

Powered by machine learning, the new skill search was built off a skills graph that maps skills to content.

TechCrunch

The company said it has 150 to 300 staff members who use machine learning and human skills to weed out fraud.

The New York Times

Flock expands on Smarterer's flagship, consumer-facing skills tests, which leverage crowdsourcing and adaptive machine learning algorithms to quantify skills in what the company claims can be as few as 10 questions and 120 seconds.

TechCrunch

At a recent class men huddled around a whirring machine, learning the numerical control skills needed in the world of advanced manufacturing.

The Economist

Teams may be comprised of some folks adept at traditional skills, like machine learning, and others with knowledge of cognitive science, mathematics, linguistics and even design.

TechCrunch

These tools very likely still require some skills around machine learning and model building, but they provide a base set of functionality out of the box that give programmers who otherwise wouldn't consider artificial intelligence a tremendous head start.

TechCrunch

Now, there are places like Udemy and Coursera where you can get your hands on almost any subject you can think of, from specific marketing skills to machine learning to learning excel spreadsheets.

Huffington Post

Table 1 shows a comparison of machine learning methods for classifying driving skill at maneuvers.

Journal of Modern Transportation

In this paper, we present a machine learning approach to classifying the skill at maneuvering by drivers using both longitudinal and lateral controls in a vehicle.

Journal of Modern Transportation

Therefore, in the full curve case, analysis of driving skill via machine learning considers transition effects from straight segments to curves and vice versa.

Journal of Modern Transportation

Expert writing Tips

Best practice

When describing different ways to expand one's knowledge, explicitly mention to focus on improving one's "machine learning skills"

Common error

Avoid using "machine learning skills" to describe basic familiarity. Reserve it for situations where you're referring to demonstrable expertise and practical application.

Linguistic Context

The phrase "machine learning skills" functions as a noun phrase, where "machine learning" acts as an adjective modifying the noun "skills." It identifies a specific set of abilities related to the field of machine learning. Ludwig AI confirms the validity of the phrase.

Expression frequency: Common

Frequent in

News & Media

43%

Science

39%

Formal & Business

8%

Less common in

Wiki

5%

Reference

3%

Encyclopedias

2%

Ludwig's WRAP-UP

In summary, "machine learning skills" is a grammatically sound and commonly used phrase that describes expertise in the field of machine learning. Ludwig AI analysis confirms the validity and usability of this expression. Its application spans various contexts, from job descriptions to educational materials. To effectively use the phrase, ensure it accurately reflects demonstrable expertise and not just basic familiarity. Exploring related phrases such as "machine learning expertise" can add nuance to your writing. Continual learning and hands-on experience are crucial for developing and maintaining strong "machine learning skills".

More alternative expressions

Phrases that express similar concepts, ordered by semantic similarity:

machine learning proficiency

This alternative focuses on the level of competence in machine learning, highlighting expertise.

machine learning expertise

This term underscores the specialized knowledge and deep understanding of machine learning principles.

skills in machine learning

This version inverts the structure, putting emphasis on 'skills' and specifying the area.

competencies in machine learning

Competencies refer to the specific abilities and knowledge required for machine learning tasks.

machine learning capabilities

Capabilities emphasize the potential and capacity to perform machine learning tasks effectively.

machine learning aptitude

Aptitude suggests a natural ability or talent for learning and applying machine learning concepts.

knowledge of machine learning

Knowledge refers to the theoretical understanding and awareness of machine learning principles and techniques.

machine learning know-how

This term conveys practical knowledge and the ability to apply machine learning techniques effectively.

machine learning talent

Talent implies a natural gift or exceptional ability in the field of machine learning.

mastery of machine learning

Mastery denotes a comprehensive and advanced understanding of machine learning concepts and techniques.

FAQs

How are "machine learning skills" typically acquired?

These skills are often acquired through formal education, such as university courses or online programs, as well as through hands-on experience in projects and internships. Continuous "machine learning training" and staying updated with the latest research are also essential.

What are some key "machine learning skills" employers look for?

Employers often seek candidates with proficiency in areas like data preprocessing, model building, algorithm selection, and performance evaluation. Strong programming skills, especially in Python or R, are also highly valued. Furthermore, it's crucial to combine potentials of machine learning algorithms with human decision making "human decision making skills".

How can I improve my "machine learning skills"?

Focus on understanding the fundamentals of machine learning algorithms and practicing with real-world datasets. Participate in coding competitions, contribute to open-source projects, and consider pursuing certifications to validate your "machine learning proficiency".

Are "machine learning skills" important in today's job market?

Yes, "machine learning expertise" is highly sought after across various industries. As companies increasingly rely on data-driven decision-making, professionals with strong "machine learning skills" are in high demand. Job postings mentioning "machine learning skills" have seen significant growth.