Practical advice for analysis of large, complex data sets
The Unofficial Google Data Science Blog
OCTOBER 31, 2016
By PATRICK RILEY For a number of years, I led the data science team for Google Search logs. We were often asked to make sense of confusing results, measure new phenomena from logged behavior, validate analyses done by others, and interpret metrics of user behavior. Some people seemed to be naturally good at doing this kind of high quality data analysis.
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