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
Data scientists.
We call them“Data Scientists”!
Data scientists are generally excited;
For example, there will be more jobs for data scientists.
Data scientists: we should not be the arbiters of truth.
But, companies large and small need more than data scientists;
Many data scientists see a cool new machine learning problem.
IBM maintains that by 2020, the demand for data scientists will increase by 28%.
The demand for Data Scientists continues to grow beyond supply.
This second group resists an easy name,but I will call them data scientists.
Data scientists guide a project from start to end.
According to IBM, the demand for data scientists is expected to increase by 28% by 2020.
Data scientists are in short supply but in demand by many industries.
Thus, social researchwill be shaped by both social scientists and data scientists.
Data scientists are going to be among the most demanded specialists in the hi-tech market.
The skill-sets and competencies that data scientists employ vary widely.
Good data scientists are able to apply their skills to achieve many kinds of purposes.
Thus, social researchwill be shaped by both social scientists and data scientists.
An amazing team, 40 data scientists and many, many more people, a pleasure to work with.
Enter the revolutionary area of BigData where there is an acute shortage of data scientists.
Data scientists, however, have less training and experience studying social behavior.
In my experience, social scientists and data scientists approach to this repurposing very differently.
Data scientists find patterns, making meaning and drawing value from the seeming chaos…[-].
In my experience, social scientists and data scientists tend to approach repurposing very differently.
Good data scientists are able to apply their skills to achieve a broad spectrum of end results.
But they demonstrate why tasking untrained engineers and data scientists with correcting bias is, at the broader level, naïve, and at a leadership level insincere.
Data scientists might call these characteristics“features” and social scientists would call them“variables.”.
They are brilliant chemists, engineers and data scientists with some of Europe's most advanced factories, world-beating technology, and leading R&D investments.
Data scientists might call these characteristics“features” and social scientists would call them“variables.”.
Data scientists solve complex data problems by employing deep expertise in some scientific discipline.