2016 Interactive Testing Uncertainty 
Cloudera
MAY 15, 2018
Derman (2016), Cesa (2017) & Bouchard (2018)). ABMs consist of an environment that is composed of (software) agents who interact with and influence one another, learn from their experiences and adapt their behaviours so that they are better suited to their environment. Blog Post, Nov-2016. Jean-Phillipe Bouchard, J.
The Unofficial Google Data Science Blog
APRIL 23, 2024
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. It is a big picture approach, worthy of your consideration.
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Jet Global
MAY 18, 2020
In the last few months, this level of thinking has been tested more than ever before. And that’s the last thing you want during in periods of uncertainty where things are changing on a daily basis. Furthermore, a 20 18 McKinsey survey said that the number of functions reporting to CFOs has risen from four to six since 2016.
The Unofficial Google Data Science Blog
MARCH 31, 2016
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". $y$ y$ feature (a) feature (b) feature (c) $sigma^2$ 1.2
O'Reilly on Data
JUNE 16, 2020
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.
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