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Data Science, Past & Future

Domino Data Lab

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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Estimating the prevalence of rare events — theory and practice

The Unofficial Google Data Science Blog

The bucketing method also changes the importance sampling to a stratified sampling setting, and allows us to use binomial confidence intervals to estimate the uncertainty of our estimate (more on that later). High Risk 10% 5% 33.3% 2] Lawrence Brown, Tony Cai, Anirban DasGupta (2001). How Many Strata? References [1] Art Owen.

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