How to interpret data, interpret data in an interpretive way
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Google News article Google is not alone in making the case for its new interpretation tool, which interprets the meanings of a large number of data points and then makes inferences based on those interpretations.
In the article, which is by the New York Times, the company notes that interpreting data is “an important skill that is often not understood by the rest of the world.”
And while this tool is still under development, the Times says it is already proving “quite effective.”
The Times also points out that it has had a “strong impact on how we interpret data” and that the tool is “designed to be as transparent and open as possible, so anyone can easily use it to learn more about how data is interpreted.”
The article goes on to suggest that this tool may “be especially valuable for people with more limited time to spend on data analysis,” such as those working in a field that might be more difficult or complex to understand.
But as Google’s Andrew Blomberg notes, interpreting data should not be the only thing a data scientist or data scientist’s assistant should be doing when the data come in.
Interpretive tools, including those built specifically for the job, are not necessary. “
As a data analyst or data analyst, you should not have to spend hours explaining how your software works to someone who is less familiar with the data and its interpretation.
Interpretive tools, including those built specifically for the job, are not necessary.
The important thing is to understand the data as it is.”
As we noted in an earlier post, Google’s announcement about its new interpretive tool comes on the heels of a similar announcement about the company’s new Data Science Suite, which it unveiled at the company CEO Sundar Pichai’s first-ever Data Science Conference in January.
The Data Science suite includes tools for interpreting data, as well as tools for extracting data from large datasets.
For more on interpreting data at Google, see our previous coverage of the company.
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