2001, Optimization, Statistics and Uncertainty

Data Science, Past & Future

Domino Data Lab

JULY 22, 2019

He was saying this doesn’t belong just in statistics. It involved a lot of work with applied math, some depth in statistics and visualization, and also a lot of communication skills. The problems down in the mature bucket, those are optimizations, they aren’t showstoppers. I can point to the year 2001.

Data Science

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

This problem can be phrased as an optimization problem — given some fixed review capacity how should we sample videos? But importance sampling in statistics is a variance reduction technique to improve the inference of the rate of rare events, and it seems natural to apply it to our prevalence estimation problem.

Metrics

Metrics Statistics Uncertainty Optimization

Data Leaders Brief

Data Science, Past & Future

Estimating the prevalence of rare events — theory and practice

Webinars

Stay Connected