2006, Data Collection, Optimization and Uncertainty

Our quest for robust time series forecasting at scale

The Unofficial Google Data Science Blog

APRIL 17, 2017

Our team of data scientists and software engineers in Search Infrastructure was already engaged in a particular type of forecasting. Quantification of forecast uncertainty via simulation-based prediction intervals. We conclude with an example of our forecasting routine applied to publicly available Turkish Electricity data.

Forecasting

Forecasting Modeling Statistics Uncertainty

Data Science, Past & Future

Domino Data Lab

JULY 22, 2019

The problems down in the mature bucket, those are optimizations, they aren’t showstoppers. They learned about a lot of process that requires that you get rid of uncertainty. They’re being told they have to embrace uncertainty. Then in 2006, they told me to go look at a website and sign up for a thing.

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Data Science Machine Learning Data Governance Modeling

Data Leaders Brief

Our quest for robust time series forecasting at scale

Data Science, Past & Future

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