The Unofficial Google Data Science Blog

JULY 22, 2020

For example, imagine a fantasy football site is considering displaying advanced player statistics. A ramp-up strategy may mitigate the risk of upsetting the site’s loyal users who perhaps have strong preferences for the current statistics that are shown. We offer two examples where this may be the case.

Experimentation 95

Experimentation Statistics Testing Strategy 95

Domino Data Lab

DECEMBER 4, 2020

Once all packages have been imported, we can move on to loading our test data. We can group by study arm and calculate various statistics as mean and standard deviation. We can then proceed with pharmacokinetic modeling, testing the goodness of fit of various models. We can extract the two in a separate DataFrame.

Metrics 59

Metrics Data Science Knowledge Discovery Measurement 59

The Unofficial Google Data Science Blog

JANUARY 14, 2016

Unlike experimentation in some other areas, LSOS experiments present a surprising challenge to statisticians — even though we operate in the realm of “big data”, the statistical uncertainty in our experiments can be substantial. Because individual observations have so little information, statistical significance remains important to assess.

Experimentation 41

Experimentation Statistics Metrics Measurement 41

Domino Data Lab

JUNE 15, 2021

We can now test the function from our Domino Workspace (JupyterLab in this case): cur.execute("SELECT ADD(5,2)") cur.fetchone()[0]. Now let’s implement a simple machine learning scoring function against our test data. F-statistic: 599.7 Let’s define another function. on 1 and 390 DF, p-value: < 2.2e-16.

Modeling 69

Modeling Data Science Data-driven Data Warehouse 69