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
Thus, social research will be shaped by both social scientists and data scientists.
In my experience, social scientists and data scientists tend to approach repurposing very differently.
We are a global team of several hundred payments consultants and data scientists across six continents.
As the volume of digital data increases, the role of the data scientists becomes more and more important.
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.
Our team is built up of cybersecurity professionals, data scientists, investigative journalists, and the vanguard of protecting personal privacy and freedoms.
that in the future, there will only be room for engineers, data scientists, and other highly-specialized workers.
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.
Professors and students may rely on the pro bono support from our big data scientists to develop researches and customized business cases for their stakeholders' needs.
R's a great choice for basic data analysis and visualization work and is widely used by Data Scientists- the other competing data science language is Python.
Our data scientists are experts in statistics, advanced analytics and machine learning with exclusive access to insights from VisaNet, one of the largest payment networks in the world.
And I will add that most companies don't have embarrassing lawsuits, but the data scientists in those companies are told to follow the data, to focus on accuracy.
Sticking to using the best tool for the task our system provides the freedom to data scientists and organisations to use their preferred analytics tools and data processing pipelines.
Our dedicated team of data scientists have been able to harness the power of machine learning and artificial intelligence(also referred to as roboinvesting)
But, as I will show in detail in Chapter 6(Ethics) this approach seriously limited in ways that are not widely appreciated by both social scientists and data scientists.
Our Data Scientists analyze large volumes of data and help organizations uncover hidden patterns in their market trends, customer preferences and other useful business info which traditional BI software easily ignore.
With the entry into the big data era, statistical offices have to incorporate data scientists in their workforce as a norm rather than as an exception, and the organizational culture will change accordingly.
Supporting the expansion of the abilities of data scientists, a significant portion of whose work is in other fields, including encouraging and supporting new interdisciplinary collaborations in the outskirts of the field and outside of it.
Over 100 people including youth, data scientists, experts and journalists attended the closing ceremony,