machine learning integration

USAGE SUMMARY

The phrase "machine learning integration" is correct and usable in written English.
You can use it when discussing the incorporation of machine learning technologies into existing systems or processes. Example: "The company is focusing on machine learning integration to enhance its data analysis capabilities."

✓ Grammatically correct

Science

News & Media

Formal & Business

Human-verified examples from authoritative sources

Exact Expressions

3 human-written examples

Rather than following a vendor's lead, prepare your staff to manage machine learning integration as an enterprise endeavor, and then allow your staff to determine a more informed choice of analytics software during a later stage of the project.

Harvard Business Review

When I asked about a specific customer that benefited from machine learning integration in Intuit's software, he pointed out that customer Brandee Neal, who manages operations at P3iD Cloud, had to manually process stacks of receipts for each employee as they returned from trade shows and out-of-state customer visits.

Forbes

To avoid the impact of human factors on the results analysis, we constructed all the machine learning integration strategies with a unified software platform, WEKA (Waikato Environment for Knowledge Analysis), which is widely used in classification.

BioMed Research International

Human-verified similar examples from authoritative sources

Similar Expressions

57 human-written examples

We're thinking about AI, machine learning, data integration, drone tech, inspection technologies, things of that nature.

TechCrunch

His research focuses on predicting chemical-induced toxicity from complex large-scale molecular data sets using novel machine learning, semantic integration and systems biology methods.

Journal of Cheminformatics

Also, the new AWS IoT Analytics service feature integrates with Amazon Quicksight for visualization of your data and brings the power of machine learning through integration with Jupyter Notebooks".

TechCrunch

As is common in statistics and machine learning, data integration techniques can be broadly categorized as either supervised (where a training/gold-standard set with known labels is used to learn statistical relationships) or unsupervised (where there is no training dataset, but we nevertheless seek to identify hidden structure in the observed data; e.g. by clustering).

Bioinformatics

Siri co-founder and CEO Dag Kittlaus has been quietly working on a much-anticipated voice assistant powered by artificial intelligence, machine learning and integrations with third-party services.

TechCrunch

Meanwhile, Clari launched its products with machine learning and data integration at the core of its offering.

Forbes

"So [Google Distinguished Researcher] Geoffrey Hinton's work on machine learning, particularly the integration of his work on neural nets and how that has shaped our AI advances, it's all in there".

TechCrunch

Additional critical skills are required for big data careers in industry, such as text mining, ontology, data integration, machine learning, and information architecture.

Science Magazine

Expert writing Tips

Best practice

When discussing the combination of machine learning with existing workflows, use "machine learning integration" to emphasize the cohesive blending of these elements. For instance, "Our company is focused on "machine learning integration" to improve efficiency".

Common error

Avoid using "machine learning integration" when only a small aspect of machine learning is being used. Be specific; if you're only using machine learning for data cleaning, say "machine learning for data preprocessing" rather than implying a full integration.

Linguistic Context

The phrase "machine learning integration" functions primarily as a noun phrase, often used as a subject or object within a sentence. It refers to the process or state of incorporating machine learning technologies into an existing system or workflow. Ludwig's examples illustrate its use in various contexts.

Expression frequency: Uncommon

Frequent in

Science

33%

News & Media

33%

Formal & Business

33%

Less common in

Academia

0%

Encyclopedias

0%

Wiki

0%

Ludwig's WRAP-UP

In summary, "machine learning integration" is a noun phrase used to describe the process of incorporating machine learning into existing systems. Ludwig AI confirms that the phrase is grammatically correct and usable in written English. While found across various domains like science, news, and business, the expression is relatively uncommon. When using this phrase, ensure that it accurately represents the scope of the integration to avoid any ambiguity, as the AI suggests.

More alternative expressions

Phrases that express similar concepts, ordered by semantic similarity:

integrating machine learning

Focuses on the action of combining machine learning, rather than the state of being combined.

machine learning implementation

Emphasizes the act of putting machine learning into effect.

incorporating machine learning

Highlights the inclusion of machine learning into something larger.

machine learning deployment

Stresses the practical application of machine learning systems.

application of machine learning

Focuses on how machine learning is used in practice.

machine learning adoption

Highlights the acceptance and start of using machine learning.

machine learning system integration

Specifies that it is the entire machine learning system that is being integrated.

machine learning technologies integration

Highlights the technologies being integrated.

blending machine learning

Emphasizes the mixing or merging aspects of machine learning.

harmonizing machine learning

Focuses on achieving compatibility and synergy when combining machine learning.

FAQs

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

You might say, "The project's success hinges on effective "machine learning integration" with existing systems."

What is an alternative to "machine learning integration"?

Consider alternatives like "integrating machine learning" or "machine learning implementation" depending on the context.

What does "machine learning integration" involve?

It typically involves incorporating machine learning algorithms and models into existing software, hardware, or business processes to enhance their capabilities.

Is "machine learning integration" different from "machine learning deployment"?

Yes, "machine learning integration" focuses on combining ML with existing systems, while "machine learning deployment" refers to the process of making ML models available for use.