Examples of using Data scientists in English and their translations into Romanian
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Data scientists.
Yet, there is a shortage of data scientists.
Data scientists are generally excited;
Sclera is an advanced analytics platform for busy data scientists and SQL professionals.
Data scientists and growth hackers.
Thus, social research will be shaped by both social scientists and data scientists.
Data scientists: we should not be the arbiters of truth.
In my experience, social scientists and data scientists tend to approach repurposing very differently.
Data scientists seek patterns in order to programme models.
In my experience, social scientists and data scientists approach to this repurposing very differently.
Many data scientists see a cool new machine learning problem.
Optimistic: The two communities that this book engages- social scientists and data scientists- have very different styles.
The data scientists would brag about how great and how accurate their model would be, and they would be right.
The degrees invites you to enter the revolutionary area of big data where there is an acute shortage of data scientists.
Data scientists and statisticians that have some familiarity with machine learning and know how to program R.
The second main solution is to do what data scientists call user-attribute inference and what social scientists call imputation.
Data scientists, software developers,data engineers and platform architects may fit the bill.
The second main solution is to do what data scientists call user-attribute inference and social scientists call imputation.
Data scientists take a real-world conundrum, dive into algorithms and mathematical models, and bring it down to earth to explain the data.”.
This course is intended for developers,architects, data scientists or any profile that requires access to data either intensively or on a regular basis.
But, as I will show indetail in Chapter 6(Ethics) this approach seriously limited in ways that are not widely appreciated by both social scientists and data scientists.
What if, on top of that, we found the data scientists and paid the data scientists to predict where the next crime would occur?
This includes open tools and software, data-intensive science, virtual research environment, citizen science and crowdsourcing, advanced visualization, e-learning andeducation of the new generation of Data scientists.
If your project is perfect for data scientists who use Python, get to know the Python data science community.
Optimistic: The two communities that this book engages- social scientists and data scientists- have very different backgrounds and interests.
On the other hand, data scientists are quick to point out the benefits of repurposed data while ignoring its weaknesses.
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.
XPO's team of data scientists can analyze the most complex supply chains to identify unrealized potential and engineer transformations.
This contrast also captures a difference between data scientists, who tend to work with Readymades, and social scientists, who tend to work with Custommades.
Demand for skilled data scientists continues to be sky-high, with IBM recently predicting that there will be a 28% increase in the number of employed data scientists in the next two years.