Examples of using Data scientists in English and their translations into Arabic
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Colloquial
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Political
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Ecclesiastic
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Ecclesiastic
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Computer
Data scientists.
Perfect for data scientists.
Data scientists.
Glassdoor Data Scientists.
Data Scientists Industry Analysts.
Public Institutions Data Scientists.
Data scientists: we should not be the arbiters of truth.
For example, there will be more jobs for data scientists.
It doesn't take data scientists very long to build these things.
I have two more messages, one for the data scientists out there.
Many data scientists see a cool new machine learning problem.
Employ resources with expert domain knowledge rather than“data scientists”.
Our data scientists are required to sign up to a Code of Ethics.
Thus, social researchwill be shaped by both social scientists and data scientists.
Companies hire data scientists to find insights and to solve meaningful business problems.
I know what a lot of you guys are thinking, especially the data scientists, the AI experts here.
The data scientists would brag about how great and how accurate their model would be, and they would be right.
We are a global team of several hundred payments consultants and data scientists across six continents.
Data scientists solve complex data problems through employing deep expertise in some scientific discipline.
In my experience, social scientists and data scientists tend to approach repurposing very differently.
Algorithmic confounding is relatively unknown to social scientists, but it is a major concern among careful data scientists.
Teams are setup and architects busily start white-boarding, data scientists are recruited, fresh and eager straight from University.
Algorithmic confounding is relatively unknown to social scientists, but it is a major concern among careful data scientists.
Our talented data scientists trained algorithms to understand our clients' financial behavioural patterns, to generate predictive analytics.
Spotfire, in my opinion is a tool best aimed at those users who are true Data Analysts orusing the new buzzord“Data Scientists“.
Our team is built up of cybersecurity professionals, data scientists, investigative journalists, and the vanguard of protecting personal privacy and freedoms.
Opportunities for data scientists”one of today's hottest jobs”are rapidly growing in response to the exponential amounts of data being captured and analyzed.
And I will add that mostcompanies don't have embarrassing lawsuits, but the data scientists in those companies are told to follow the data, to focus on accuracy.
It is generally expected that data scientists are able to work with various elements of mathematics, statistics and computer science, although expertise in these subjects are not required.