The Unofficial Google Data Science Blog
OCTOBER 7, 2015
A/B testing is used widely in information technology companies to guide product development and improvements. For questions as disparate as website design and UI, prediction algorithms, or user flows within apps, live traffic tests help developers understand what works well for users and the business, and what doesn’t.
Occam's Razor
AUGUST 22, 2011
Convert Data Skeptics: Document, Educate & Pick Your Poison. Data Mining And Predictive Analytics On Web Data Works? Web Analytics Data Sampling 411. Six Data Visualizations That Rock! The Awesome Power of Visualization 2 -> Death and Taxes 2007. The Awesome Power of Data Visualization.
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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.
The Unofficial Google Data Science Blog
APRIL 23, 2024
Modeling live experiment data Data scientists at YouTube are rarely involved in the analysis of typical live traffic experiments. Multiparameter experiments, however, generate richer data than standard A/B tests, and automated t-tests alone are insufficient to analyze them well. Springer New York, 2007. [8]
datapine
DECEMBER 28, 2021
To make sure the reliability is high, there are various techniques to perform – the first of them being the control tests, which should have similar results when reproducing an experiment in similar conditions. In 2007, Colgate was ordered by the Advertising Standards Authority (ASA) of the U.K. 3) Data fishing.
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