Examples of using Data scientists in English and their translations into Croatian
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Data scientists.
This second group resists an easy name, butI will call them data scientists.
Many data scientists see a cool new machine learning problem.
In my experience,social scientists and data scientists approach to this repurposing very differently.
From data scientists, I have seen two common misunderstandings.
Thus, social research will be shaped by both social scientists and data scientists.
Many data scientists see a cool new machine learning problem.
In my experience,social scientists and data scientists tend to approach repurposing very differently.
Data scientists, however, have less training and experience studying social behavior.
Algorithmic confounding is relatively unknown to social scientists, butit is a major concern among careful data scientists.
Data scientists are accustomed to ask questions where they can easily verify the answer, says Salganik.
It has been my experience that many social scientists and data scientists view these ethical issues as a swamp to be avoided.
With this data, scientists speculated… that the Moon could have experienced volcanic activity… in the last million years.
For starters, data management employees,developers, and data scientists can use AWS Management Console to register the data sources.
Data scientists might call these characteristics"features" and social scientists would call them"variables.
The second main solution is to do what data scientists call user-attribute inference and what social scientists call imputation.
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.
On the other hand, data scientists are typically quick to point out the benefits of repurposed data while ignoring its weaknesses.
One barrier to creating these shared standards is that social scientists and data scientists tend to have different approaches to research ethics.
Koios always welcomes patient and focused Data Scientists to dig out diamonds of cognition from the mountains of data and lead companies to a treasure trove of excellent business results.
It is necessary to find someone who understands advertising on Facebook without breaking the budget,an expert in optimizing web sites, and data scientists who will increase the number of those who convert from site visitors into customers.
All members of the Croatian team are professionally engaged in developing big data solutions for various industries. For them, European Big Data Hackathon was a great opportunity to compare their skills andknowledge with the best European data scientists.
The second main solution is to do what data scientists call user-attribute inference and social scientists call imputation.
The second misunderstanding that I have seen from data scientists is thinking that social science is just a bunch of fancy talk wrapped around common sense.
This contrast also captures a difference between data scientists, who tend to work with Readymades, and social scientists, who tend to work with Custommades.
This contrast also captures a difference between data scientists, who tend to work with Readymades, and social scientists, who tend to work with Custommades.
The data scientist is your next hire- Data today rule the game.
Data scientist, IN2data.
Imagine that you are working as a data scientist at a tech company.
What exactly do you do as a Data Scientist?