Practical advice for analysis of large, complex data sets
Practical advice for analysis of large, complex data sets Get link 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. These engineers and analysts were often described as “careful” and “methodical”. But what do those adjectives actually mean? What actions earn you these labels? To answ...
Source: unofficialgoogledatascience.com