synthetic-data

Vocabulary Word

Definition
'Synthetic data' is made-up data that is designed to mimic and represent actual data. Often, it's used for tasks like testing software or models without using real data.
Examples in Different Contexts
In software testing, 'synthetic-data' refers to data created to test software applications under various conditions without using sensitive or real user data. A quality assurance engineer might remark, 'We use synthetic-data to ensure our application performs well under diverse scenarios.'
Practice Scenarios
Business

Scenario:

Our new trading model needs to be thoroughly tested. We've generated some synthetic data that matches market conditions.

Response:

That's a good idea. Using synthetic data will give us a realistic understanding of how the trading algorithm is performing.

AI

Scenario:

We need to train our machine-learning model. Creating synthetic data can be a good way to ensure we don't violate any privacy policies.

Response:

Right, synthetic data will be helpful for unbiased training without compromising the privacy of real users.

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