machine learning analytics

USAGE SUMMARY

The phrase "machine learning analytics" is correct and usable in written English.
It can be used when discussing the analysis of data using machine learning techniques to derive insights or make predictions. Example: "The company implemented machine learning analytics to improve customer segmentation and enhance marketing strategies."

✓ Grammatically correct

News & Media

Science

Human-verified examples from authoritative sources

Exact Expressions

7 human-written examples

Standard Leonardo services include machine learning, analytics, big data and even blockchain as a service.

TechCrunch

A new trend among applicants, Cardamone noticed, was the implementation of advanced machine learning, analytics and chat bots to solve the needs of workers or their employers.

TechCrunch

Polzer also points to the market constraints of telcos as a helper here — noting this characteristic means they're not well-positioned to recoup the kind of investment needed to build a comparable machine learning analytics platform.

TechCrunch

AWS said that GoDaddy will be using AWS's Elastic Container Service for Kubernetes and Elastic Compute Cloud P3 instances, as well as machine learning, analytics, and other database-related and container technology.

TechCrunch

Using machine learning analytics on a vast database of calling data (3.5 billion calls to date), Seattle-based Hiya's mission has been to supercharge the humble phone call — by providing detailed information about who is calling you, whether it's a regular person or an IRS fraudster.

TechCrunch

"We were on the disruptive side for a number of years, at the same time when we look at the next decade about how companies will work, trends of today will be more broad and significant — big data, machine learning, analytics — much bigger tends than what drove Box in 2005.

TechCrunch

Human-verified similar examples from authoritative sources

Similar Expressions

53 human-written examples

This requires technological innovation inherent in sensors, machine learning and analytics.

TechCrunch

In addition, Azure provides powerful PaaS capabilities, like machine learning, stream analytics and more.

TechCrunch

Thornburgh envisions his company as the first to incorporate machine learning and analytics as the backbone of its platform and applications.

TechCrunch

Alicanto, launching today at Disrupt San Francisco 2012, is bringing machine learning, data analytics and the concept of forming neighborhood business alliances to the small business market.

TechCrunch

This kind of integration adds value throughout the service offerings, while using machine learning and analytics to help push the right information at the right time, Kokinos explained.

TechCrunch

Expert writing Tips

Best practice

When using "machine learning analytics", ensure that the context clearly indicates the application of machine learning techniques to data analysis for extracting insights or making predictions. Be specific about the type of machine learning methods used if relevant.

Common error

Avoid using "machine learning analytics" as a generic term for all data analysis. It specifically implies the use of machine learning algorithms and models. Clearly differentiate it from basic statistical analysis or reporting.

Linguistic Context

The phrase "machine learning analytics" functions as a noun phrase that describes a specific type of data analysis. It combines the noun "analytics" with the modifier "machine learning", indicating that the analysis is performed using machine learning techniques. According to Ludwig AI, the phrase is correct and usable in written English.

Expression frequency: Uncommon

Frequent in

News & Media

47%

Science

47%

Formal & Business

6%

Less common in

Ludwig's WRAP-UP

In summary, "machine learning analytics" refers to the application of machine learning techniques to perform data analysis, extract insights, and make predictions. Ludwig AI confirms its grammatical correctness and usability. While relatively uncommon, it is frequently found in News & Media and Science contexts, indicating a formal and technical register. The phrase implies a sophisticated analytical approach, differentiating itself from basic statistical methods. Remember to use this phrase when machine learning techniques are explicitly involved in the analytical process and consider alternative phrases to accurately reflect the context.

More alternative expressions

Phrases that express similar concepts, ordered by semantic similarity:

machine learning driven analysis

Replaces 'analytics' with a phrase emphasizing that the analysis is powered by machine learning.

analytics using machine learning methods

Specifies that machine learning methods are employed in the analytics process.

machine learning based data analysis

Focuses on data analysis as the primary activity, with machine learning providing the foundation.

data analytics with machine learning

Reverses the order, highlighting data analytics and specifying machine learning as a tool.

predictive analytics with machine learning algorithms

Emphasizes the predictive aspect of the analytics and specifies the use of algorithms.

machine intelligence analytics

Substitutes 'learning' with 'intelligence' to suggest a broader scope of AI involvement.

AI powered analytics

Replaces 'machine learning' with 'AI' offering a broader coverage.

statistical learning analytics

Replaces "machine learning" with "statistical learning", a more traditional term.

advanced data mining techniques

Omits machine learning and focuses on the broader concept of data mining.

computational data analysis

Uses "computational" to highlight the use of algorithms in data analysis, without specifying machine learning.

FAQs

How is "machine learning analytics" used in practice?

Companies use "machine learning analytics" to automate tasks like fraud detection, predictive maintenance, and personalized marketing, by training algorithms on large datasets to identify patterns and make predictions.

What are some alternatives to saying "machine learning analytics"?

You can use alternatives like "machine learning driven analysis", "data analytics with machine learning", or "AI powered analytics" depending on the specific context.

Is "machine learning analytics" a subset of data science?

"Machine learning analytics" is a component of data science. Data science encompasses a broader range of techniques, while "machine learning analytics" specifically focuses on using machine learning for data analysis and prediction.

What skills are needed to perform "machine learning analytics"?

Performing "machine learning analytics" requires skills in programming (e.g., Python, R), statistics, machine learning algorithms, data visualization, and data preprocessing. Knowledge of specific machine learning frameworks like TensorFlow or scikit-learn is also beneficial.