Examples of using Data scientists in English and their translations into Hungarian
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Colloquial
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Official
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Medicine
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Ecclesiastic
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Financial
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Programming
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Official/political
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Computer
We call them“Data Scientists”!
Employ resources with expert domain knowledge rather than“data scientists”.
I will call them data scientists.
Data scientists solve complex data problems by employing deep expertise in some scientific discipline.
We're brilliant chemists, engineers and data scientists with some of Europe's most advanced factories
That is, data scientists at Facebook knew of the empirical
They are brilliant chemists, engineers and data scientists with some of Europe's most advanced factories,
But they demonstrate why tasking untrained engineers and data scientists with correcting bias is, at the broader level, naïve,
Data scientists are those who crack complex data problems with their strong expertise in certain scientific disciplines.
Data scientists, on the other hand,
Data scientists who are testing this solution can work with the provided R code from the browser-based Open Source Edition of RStudio Server that runs on the Edge Node of the Azure HDInsight Spark cluster.
Enter the revolutionary area of Big Data where there is an acute shortage of data scientists.
big data engineers, data scientists, visualization experts,
In fact, the data scientists themselves don't have much of intuition either… and that is a problem.
On the other hand, data scientists are quick to point out the benefits of repurposed data while ignoring its weaknesses.
gain the expertise and skills to perform some of the analytics functions that have been traditionally reserved for Data Scientists.
The company has also instilled an efficient R&D culture where data scientists and business engineers are at the core of the innovation process.
A team of data scientists and doctors developed and tested a system of computer-based machine learning algorithms to
In fact, the data scientists themselves don't have much intuition either, and that's an even bigger problem.
is aimed at data analysts and data scientists who wish to implement more advanced data analytics techniques for data mining using Python.