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"data driven approach" is a correct and usable phrase in written English.
It refers to making decisions or implementing strategies based on data and evidence rather than personal opinions or assumptions. Example: "Our company has adopted a data-driven approach to marketing, using analytics and customer insights to guide our campaigns and target specific demographics."
Exact(54)
A data driven approach for algebraic loop invariants.
Of course, this data driven approach is being fuelled by advancements in technology.
It is a purely data driven approach for optimization of the loop performance.
It is a purely data driven approach aiming at optimizing the closed loop performance.
The only basic requirement for the data driven approach is the availability of representative data for the phenomena.
Our method combines a bottom-up data driven approach with top-down feedback provided by high level semantic representations.
Similar(6)
Remaining useful life estimation a review on the statistical data driven approaches.
In order to develop effective and efficient strategies more data driven approaches are needed.
And it turns out that since a lot of approaches to developing intelligent system are actually based on data driven approaches, so a lot of problems you cannot just solve by a simple set of rules.
The Second Wave is empirical: purely data driven approaches which learn grasp strategies from many examples using techniques such as imitation and reinforcement learning with hyperparametric function approximation (Deep Learning).
However, the main drawback of data driven approaches is the requirement of huge historical database for model development.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com