Examples of using Data scientists in English and their translations into German
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Colloquial
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Political
 How far can we get without Data Scientists?
Citizen data scientists- would you like to correlate with me?
Our consulting arm of 160 experts, including data scientists, saved an average of.
How to move data scientists' work to IT production.
These"data specialists" are frequently combined under the term Data Scientists.
Hiring a small team of data scientists and BI developers is not in your budget.
Thus, social researchwill be shaped by both social scientists and data scientists.
Data scientists, however, have less training and experience studying social behavior.
There are important differences between how social scientists and data scientists approach research ethics.
Marketing Data Scientists help sift through the data and extract the facts relevant to the company.
The enormous growth in data volume and the necessity of capitalizing on this have made data scientists, data analysts, and data engineers the most sought-after experts by HR departments.
This course is for data scientists and statisticians that have some familiarity with statistics and know how to program R or Python or other chosen language.
The talent pool in Finance will expand toinclude business people with finance backgrounds, data scientists, and storytellers-all collectively enhancing Finance's ability to support the strategy of the company.
Data scientists to designate, review and fine-tune algorithms that drive how predictive engines behave and biometrics systems perform.
The second main solution is to do what data scientists call user-attribute inference and what social scientists call imputation.
Data scientists design mathematical models for processing data, which they then analyse and place in a meaningful context.
Flowing Data explores how statisticians, designers, data scientists, and others use analysis, visualization, and exploration to understand data. .
That is, data scientists at Facebook knew of the empirical and theoretical research about transitivity and then baked it into how Facebook works.
On the data analytical side we collaborate with computational data scientists to develop and use innovative methods on our high-dimensional and multimodal data. .
After all, data scientists not only have to sort huge volumes of data, they also have to interpret it and be able to communicate it in a comprehensible manner.
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, on the other hand, have little systematic experience with research ethics because it is not commonly discussed in computer science and engineering.
In the information theory, data scientists also refer to information as a measure of eliminated uncertainty Wikipedia.
Data Scientists must be experts in several disciplines at the same time: They do not only assess data, but must also understand the business contexts in companies and organizations.
On the other hand, data scientists are quick to point out the benefits of repurposed data while ignoring its weaknesses.
Our data scientists and maintenance experts enable our clients to reap operational and maintenance benefits by harnessing data that is already available in most cases but not fully used.
Indeed, everyone from data scientists to creative agencies are organizing communities that make use of the open collaboration that Git and Bitbucket make possible.
The technologies, data scientists and other resources for uncovering user behavior from this unstructured data might only be available to you in the future.
That is, data scientists at Facebook knew of the empirical and theoretical research about transitivity and then baked it into how Facebook works.
Our data engineers and data scientists restructure and analyze existing data with our platform and discover unknown patterns.