Knowledge Discovery, Testing and Uncertainty

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Knowledge Discovery

Testing

Uncertainty

Changing assignment weights with time-based confounders

The Unofficial Google Data Science Blog

JULY 22, 2020

Another reason to use ramp-up is to test if a website's infrastructure can handle deploying a new arm to all of its users. The website wants to make sure they have the infrastructure to handle the feature while testing if engagement increases enough to justify the infrastructure. We offer two examples where this may be the case.

Experimentation

Experimentation Statistics Testing Knowledge Discovery

Variance and significance in large-scale online services

The Unofficial Google Data Science Blog

JANUARY 14, 2016

Unlike experimentation in some other areas, LSOS experiments present a surprising challenge to statisticians — even though we operate in the realm of “big data”, the statistical uncertainty in our experiments can be substantial. We must therefore maintain statistical rigor in quantifying experimental uncertainty.

Experimentation

Experimentation Statistics Metrics Measurement

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How to Achieve High-Accuracy Results When Using LLMs

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Changing assignment weights with time-based confounders

Variance and significance in large-scale online services

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