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Towards optimal experimentation in online systems

The Unofficial Google Data Science Blog

APRIL 23, 2024

the weight given to Likes in our video recommendation algorithm) while $Y$ is a vector of outcome measures such as different metrics of user experience (e.g., Experiments, Parameters and Models At Youtube, the relationships between system parameters and metrics often seem simple — straight-line models sometimes fit our data well.

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Experimentation Optimization Uncertainty Metrics

Analytics On The Bleeding Edge: Transforming Data's Influence

Occam's Razor

MARCH 23, 2021

The other dimension to consider is most Analtyics teams kick into gear after the campaign is concluded, after the customer interaction has taken place in the call center, and after the funds budgeted have already been spent. From 2006: Is Real-Time Analytics Really Relevant? ). The benchmark for the beautiful metric AVOC is 15.3%.

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Towards optimal experimentation in online systems

Analytics On The Bleeding Edge: Transforming Data's Influence

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