Examples of using Data scientists in English and their translations into Bengali
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Colloquial
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Ecclesiastic
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Computer
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 other hand, data scientists are typically quick to point out the benefits of repurposed data while ignoring its weaknesses.
While it is possible to directly scale machine learning capabilities by hiring more individuals, it is not possible to do so with data scientists.
While we cruised through their lives as data scientists, the duo also told us about the projects they are working on at present.
One barrier to creating these shared standards is that social scientists and data scientists tend to have different approaches to research ethics.
Algorithmic confounding is relatively unknown to social scientists, but it is a major concern among careful data scientists.
The second main solution is to do what data scientists call user-attribute inference and social scientists call imputation.
Even as they are generalists, data scientists differ from organisation to organisation,
On the other hand, data scientists are quick to point out the benefits of repurposed data while ignoring its weaknesses.
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.
Machine Learning allows data scientists to take their roles to the next level, and also offers a novel way of management.
It is for social scientists who want to do more data science, data scientists who want to do more social science,
This book is for social scientists who want to do more data science, data scientists who want to do more social science,
would be logistically impossible), they manually labeled a small number of posts and then used what data scientists would call supervised learning to estimate the categories of all the posts.
And today the requirements for a data scientist is increasing- aspirants and data scientists are becoming anxious and restless and are trying out every possible way to expand their knowledge.
aspiring individuals and data scientists across the world have also started to feel that the domain today is not just about extracting insights, it is much more than that.
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.
These data scientists- who often have training in fields such as computer science,
These data scientists- who often have training in fields such as computer science,
You don't need to have a data scientist on staff to get started.