Examples of using Data scientists in English and their translations into Ukrainian
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Computer
Public Institutions Data Scientists.
Data scientists are generally excited;
What skills do Data Scientists need?
Data scientists are generally excited;
Dozens of architects, data scientists, and AI experts.
Data scientists: we should not be the arbiters of truth.
Conference for architectures, engineers, data scientists and CTOs.
From data scientists, I have seen two common misunderstandings.
That's why we started our company and hired top data scientists in Ukraine.
From data scientists, I have seen two common misunderstandings.
For instance,McKinsey believes there are more than 100,000 openings for data scientists.
Data scientists- who are they and why do they get paid so much?
Company searches for Data Scientists rose by 75% between 2015 and 2018.
Data Scientists, to improve decision-making based on the data-driven approach.
The second main solution is to do what data scientists call user-attribute inference and what social scientists call imputation.
Data scientists confirm favorable conditions for its occurrence billions of years ago.
Professionals in investment attraction with experience in business, data scientists, business analysts, consultants, etc are required.
Data scientists, however, have less training and experience studying social behavior.
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.
Data scientists and engineers, especially with interest in image processing and facial recognition.
The international scientists, participants of scientific research projects, Data Scientists and Machine Learning specialists are among the speakers at the conference.
Data scientists have the analytical and programming skills needed to extract valuable knowledge out of data. .
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.
On the other hand, data scientists are typically quick to point out the benefits of repurposed data while ignoring its weaknesses.
That is, data scientists at Facebook knew of the empirical and theoretical research about transitivity and then baked it into how Facebook works.
The company pulled together 175 data scientists to help create Salesforce Einstein, while leveraging acquisitions such as MetaMind, PredictionIO and RelateIQ.
Data scientists, on the other hand, have little systematic experience with research ethics because it is not commonly discussed in computer science and engineering.
On the other hand, data scientists are quick to point out the benefits of repurposeddata while ignoring its weaknesses.
Data scientists are one of the hottest emerging professions of the past decade, with high demand, high pay and high job satisfaction.-.