2001, Metrics, Risk and Uncertainty

Data Science, Past & Future

Domino Data Lab

JULY 22, 2019

What I’m trying to say is this evolution of system architecture, the hardware driving the software layers, and also, the whole landscape with regard to threats and risks, it changes things. You see these drivers involving risk and cost, but also opportunity. I can point to the year 2001. All righty. Where did this happen?

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Data Science Machine Learning Data Governance Modeling

Estimating the prevalence of rare events — theory and practice

The Unofficial Google Data Science Blog

AUGUST 27, 2019

Of course, any mistakes by the reviewers would propagate to the accuracy of the metrics, and the metrics calculation should take into account human errors. If we could separate bad videos from good videos perfectly, we could simply calculate the metrics directly without sampling. The missing verdicts create two problems.

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Metrics Statistics Uncertainty Optimization

Data Leaders Brief

Data Science, Past & Future

Estimating the prevalence of rare events — theory and practice

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