data efficiency

USAGE SUMMARY

The phrase "data efficiency" is correct and usable in written English.
It can be used when discussing the effectiveness of data usage, particularly in contexts like technology, data management, or analytics. Example: "Improving data efficiency is crucial for optimizing our storage solutions and reducing costs."

✓ Grammatically correct

News & Media

Science

Academia

Human-verified examples from authoritative sources

Exact Expressions

38 human-written examples

To some extent, the data efficiency problem can be overstated.

The Guardian - Tech

In the field of machine learning we refer to this as data efficiency.

The Guardian

Deep learning experts have proposed several ways to tackle the problem of data efficiency.

The Guardian - Tech

But, Hadsell said, the progressive neural network technique does have some more immediate uses in improving data efficiency.

The Guardian - Tech

On the relationship between data efficiency and error in active learning.

Stanford University

One of the key areas of research for 2017 is data efficiency: the problem of trying to teach machine-learning systems how to do more, with less.

The Guardian - Tech

Human-verified similar examples from authoritative sources

Similar Expressions

22 human-written examples

Those two companies and others, like Microsoft, are increasingly in the business of trying to expand infrastructure and related data-efficiency technologies that will, inevitably, be deployed in ways that benefit themselves (see "Facebook's Two Faces").

MIT Technology Review

However, DL also has significant weaknesses including difficulties in interpreting its models (the 'black-box' criticism), its need for extensive adjudicated ('labelled') data in training, lack of standardization in design, lack of data-efficiency in training, limited applicability to clinical trials, and other factors.

Stanford University

Neuroligin-3 expression data and efficiency of Cre driver mice.

Nature

"They've been doing a lot of data center efficiency and consolidation," Ms. Quarles said.

The New York Times - Tech

The traditional measure of data center efficiency is power usage effectiveness, or P.U.E.

The New York Times - Tech

Expert writing Tips

Best practice

When aiming for better "data efficiency", consider techniques like data compression, deduplication, and optimized indexing to reduce storage space and improve access times.

Common error

Don't assume that improving "data efficiency" automatically enhances data accuracy. While efficient processes can help manage data better, accuracy requires validation and cleansing steps to ensure data correctness.

Linguistic Context

The phrase "data efficiency" functions primarily as a noun phrase, where "data" acts as an attributive noun modifying "efficiency". It refers to the effectiveness of data use and management. As Ludwig AI explains, this phrase is correct and usable in English.

Expression frequency: Common

Frequent in

News & Media

33%

Science

33%

Academia

17%

Less common in

Formal & Business

8%

Encyclopedias

0%

Wiki

0%

Ludwig's WRAP-UP

In summary, "data efficiency" is a grammatically correct and commonly used phrase that describes the optimized use of data resources. Ludwig shows that it appears frequently in contexts such as News & Media, Science, and Academia. Improving "data efficiency" involves strategies like data compression and deduplication, but it's crucial not to confuse it with data accuracy. Alternatives like "data optimization" and efficient data usage offer similar meanings with slightly different emphasis. As Ludwig AI confirms, the phrase is a valid and useful term in various professional and technical domains.

More alternative expressions

Phrases that express similar concepts, ordered by semantic similarity:

data optimization

Focuses specifically on improving the processing and storage of data to maximize performance.

efficient data usage

Emphasizes the practical application of data resources in a productive manner.

data effectiveness

Highlights the degree to which data achieves its intended outcome or purpose.

optimized data management

Focuses on the streamlined handling and organization of data assets.

improved data utilization

Suggests a more productive and resourceful use of available data.

resourceful data handling

Highlights ingenuity and skill in managing data with limited resources.

streamlined data processing

Implies simplified and more effective procedures for data transformation.

data productivity

Focuses on the output or results achieved from data in relation to the input effort.

efficient data storage

Specifically addresses how data is stored in a way that minimizes space and maximizes accessibility.

enhanced data throughput

Highlights the increased volume of data processed or transmitted within a given timeframe.

FAQs

How is "data efficiency" measured?

"Data efficiency" can be measured by factors like storage space used, processing speed, and resource consumption. Metrics often include compression ratios, query response times, and energy usage per unit of data.

What are some strategies to improve "data efficiency"?

Strategies include data compression, deduplication, efficient indexing, optimizing data structures, and using appropriate data storage formats. Also, consider "data optimization" techniques.

What's the difference between "data efficiency" and "data optimization"?

"Data efficiency" generally refers to how well resources are used in data handling, while "data optimization" specifically focuses on improving the structure and processing of data to enhance performance and reduce resource usage.

Why is "data efficiency" important?

"Data efficiency" is crucial for reducing storage costs, improving processing speeds, minimizing resource consumption, and enhancing overall system performance, particularly in big data environments.