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Towards optimal experimentation in online systems

The Unofficial Google Data Science Blog

Crucially, it takes into account the uncertainty inherent in our experiments. However, if we experiment with both parameters at the same time we will learn something about interactions between these system parameters. In this section we’ll discuss how we approach these two kinds of uncertainty with QCQP.

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Take Advantage Of The Best Interactive & Effective Data Visualization Examples

datapine

Table of Contents 1) The Benefits Of Data Visualization 2) Our Top 27 Best Data Visualizations 3) Interactive Data Visualization: What’s In It For Me? Whether static or interactive dashboards , these creative data visualization examples will serve as an inspiration for any data enthusiast. No, data is the new soil.”

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Using random effects models in prediction problems

The Unofficial Google Data Science Blog

In the context of prediction problems, another benefit is that the models produce an estimate of the uncertainty in their predictions: the predictive posterior distribution. Column "a" is an advertiser id, "b" is a web site, and "c" is the 'interaction' of columns "a" and "b". $y$ arXiv preprint arXiv:1506.04416 (2015). [6]

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Decision-Making in a Time of Crisis

O'Reilly on Data

But when making a decision under uncertainty about the future, two things dictate the outcome: (1) the quality of the decision and (2) chance. This essay is about how to take a more principled approach to making decisions under uncertainty and aims to provide certain conceptual and cognitive tools for how to do so, not what decisions to make.