Examples of using Data science in English and their translations into Marathi
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Ecclesiastic
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Computer
Data Science.
That's data science!
Data science is there to help.
There are various courses that go under Data Science.
What is Data Science Course?
Computer programming is an essential part of data science.
Data Science and Machine Learning.
Computational Social Science Data Science Summer School.
Data science and knowledge engineering.
The future of social researchwill be a combination of social science and data science.
Learning data science is not easy.
The vast majority of the organizations list the essentials of joining the Data Science Certification Courses.
The Data Science Certification Courses Open.
Next, Blumenstock used a two-step procedure common in data science: feature engineering followed by supervised learning.
The data science is a topic of my interest.
It tends to require ideas from both social science and data science, and it often leads to the most exciting research.
We use data science in many distinct areas.
For example, the research of Joshua Blumenstock and colleagues was a mixture of traditional survey research with what some might call data science.
One that is common in data science but currently relatively rare in social science. .
For example, the research of Blumenstock and colleagues was a mixture oftraditional survey research with what some might call data science.
The intersection of social science and data science is sometimes called computational social science. .
This book is my attempt to write down all that perspective, context, and advice in a way that has no prerequisites-in terms of either social science or data science.
Forecasting is a big part of industrial data science(Mayer-Schönberger and Cukier 2013; Provost and Fawcett 2013).
Great Acceptability: With so many benefits, the languages have gained widespread acclaim andabout 2 million users use them worldwide while dealing in data science.
It is for social scientists that want to do more data science, and it is for data scientists that want to do more social science. .
Going forward, our capabilities will continue to increase,and by combining ideas from social science and data science we can take advantage of these opportunties.
This book is for social scientists who want to do more data science, data scientists who want to do more social science, and anyone interested in the hybrid of these two fields.
More generally,social researchers will need to combine ideas from social science and data science in order to take advantage of the opportunities of the digital age;
Donoho(2015) describes data science as the activities of people learning from data, and it offers a history of data science, tracing the intellectual origins of the field to scholars such as Tukey, Cleveland, Chambers, and Breiman.
Everybody needs to break into Big Data and they have a ton of openings for work on the ascent. However,making stepping forward into Data Sciences it is basic to comprehend what it is and which Data Science Certification to settle on.