2001, Optimization, 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. Those are nice problems to have.

Data Science

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Estimating the prevalence of rare events — theory and practice

The Unofficial Google Data Science Blog

AUGUST 27, 2019

This problem can be phrased as an optimization problem — given some fixed review capacity how should we sample videos? 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).

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Data Leaders Brief

Data Science, Past & Future

Estimating the prevalence of rare events — theory and practice

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