Remove 2014 Remove Experimentation Remove Measurement Remove Statistics
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Towards optimal experimentation in online systems

The Unofficial Google Data Science Blog

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., Taking measurements at parameter settings further from control parameter settings leads to a lower variance estimate of the slope of the line relating the metric to the parameter.

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What Is DataOps? Definition, Principles, and Benefits

Alation

DataOps as a term was brought to media attention by Lenny Liebmannin 2014, then popularized by several other thought leaders. In DataOps, data analytics performance is primarily measured through insightful analytics, and accurate data, in robust frameworks. Over the past 5 years, there has been a steady increase in interest in DataOps.

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To Balance or Not to Balance?

The Unofficial Google Data Science Blog

In an ideal world, experimentation through randomization of the treatment assignment allows the identification and consistent estimation of causal effects. Identification We now discuss formally the statistical problem of causal inference. We start by describing the problem using standard statistical notation.