machine learning experiments

USAGE SUMMARY

The phrase "machine learning experiments" is correct and usable in written English.
You can use it when discussing research, projects, or studies that involve testing or applying machine learning techniques. Example: "The results of the machine learning experiments showed a significant improvement in accuracy compared to previous models."

✓ Grammatically correct

Science

News & Media

Academia

Human-verified examples from authoritative sources

Exact Expressions

27 human-written examples

We also develop natural language processing methods that use the narrative radiology report to create large annotated image training sets for supervised machine learning experiments.

Stanford University

In this work, we propose Kuaa, a workflow-based framework that can be used for designing, deploying, and executing machine learning experiments in an automated fashion.

Future Generation Computer Systems

Experimental results show that Jaro Winkler yields the highest effectiveness performance with comparable results to those observed for LRAR, presenting the best alternative machine learning experiments to the user.

Future Generation Computer Systems

Spell is a collaborative platform that lets anyone run machine learning experiments.

TechCrunch

The Experimentation Service is all about helping developers quickly train and deploy machine learning experiments.

TechCrunch

Therefore, during the preparation for machine learning experiments, the need of generating sets of compounds assumed as inactive arises.

Journal of Cheminformatics

Human-verified similar examples from authoritative sources

Similar Expressions

33 human-written examples

Google today launched a fun new machine learning experiment: A.I. Duet.

TechCrunch

Newsletters from publications like TechCrunch and StrictlyVC, as well as platforms like CrunchBase, are painstakingly assembled by hand, but the team's machine learning experiment leveraging Google's Tensor Flow is already able to generate rudimentary venture capital deal summaries.

TechCrunch

The Princeton machine-learning experiment replicated the broad biases exhibited by human subjects who have taken select Implicit Association Test studies.

Princeton University

G.T., G.M. and J.C. performed the machine learning numerical experiments.

Nature

An era of rapid evolution of structures and devices driven by new capabilities in machine learning, nanoscale experiments, and economic modeling is unfolding, MIT materials researchers revealed during the annual Industrial Liaison Program ILP Research and Development Conferencece.

Massachusetts Institute of Technology

Expert writing Tips

Best practice

In academic and scientific writing, provide detailed descriptions of your "machine learning experiments" to enable reproducibility.

Common error

Don't just say you conducted "machine learning experiments". Specify the algorithms, datasets, and evaluation methods used to provide a clear understanding of your work.

Linguistic Context

The phrase "machine learning experiments" functions as a noun phrase, typically acting as the subject or object of a sentence. It refers to a set of tests or trials conducted using machine learning techniques, according to Ludwig.

Expression frequency: Common

Frequent in

Science

65%

News & Media

20%

Academia

15%

Less common in

Ludwig's WRAP-UP

In summary, the phrase "machine learning experiments" is a grammatically correct and frequently used noun phrase, particularly within scientific, academic, and news contexts. As Ludwig AI confirms, the phrase is suitable for describing research or practical applications that involve testing machine learning models. For clarity, it's best practice to specify the algorithms and datasets used in these experiments. Alternative phrases include "ML experiments" and "AI experimentation", providing similar meanings with slight variations in emphasis. The consistent usage and high source quality indicate that this phrase is both reliable and effective for communicating about machine learning research and development.

More alternative expressions

Phrases that express similar concepts, ordered by semantic similarity:

ML experiments

Shorthand version using the acronym for Machine Learning.

AI experimentation

Focuses on the 'experimentation' aspect using Artificial Intelligence.

computational learning tests

Replaces "machine learning" with "computational learning" and "experiments" with "tests".

data science experiments

Expands the field of study to 'data science'.

predictive modeling exercises

Highlights the predictive aspect of machine learning replacing "experiments" with "exercises".

algorithmic learning trials

Uses "algorithmic learning" instead of "machine learning" and "trials" for "experiments".

statistical learning investigations

Replaces "machine learning" with "statistical learning" and "experiments" with "investigations".

pattern recognition studies

Emphasizes the 'pattern recognition' aspect.

intelligent system evaluations

Focuses on 'intelligent systems' and their 'evaluations'.

automated learning assessments

Highlights the automation aspect of machine learning with emphasis on "assessments".

FAQs

How can I effectively describe "machine learning experiments" in a research paper?

Clearly outline the problem, the data used, the algorithms implemented, and the evaluation metrics employed. Include details that allow for reproducibility.

What are some alternatives to the phrase "machine learning experiments"?

You can use alternatives like "ML experiments", "AI experimentation", or "computational learning tests" depending on the context.

What is the importance of documenting "machine learning experiments"?

Proper documentation ensures reproducibility, facilitates collaboration, and allows for iterative improvements based on previous results.

How do "machine learning experiments" differ from traditional statistical analyses?

"Machine learning experiments" often involve more complex algorithms and larger datasets, focusing on prediction and automation, while traditional statistical analyses focus on inference and hypothesis testing.