Remove 2016 Remove Cost-Benefit Remove Predictive Modeling Remove Testing
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Business Intelligence and the COVID-19 Pandemic

Paul Blogs on BI

This first metric requires people to be tested and, as we all know, that is only possible in places where testing is available (and confirmation takes a few days) and only a fraction of people have been tested. As more testing becomes available this first metric will increase significantly.

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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. These predictive posterior distributions have many uses such as in multi-armed bandit problems. Cambridge University Press, (2006). [2]

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Deep Learning Illustrated: Building Natural Language Processing Models

Domino Data Lab

[Note: In more technical machine learning terms, the cost function of the skip-gram architecture is to maximize the log probability of any possible context word from a corpus given the current target word.] With CBOW, it is the inverse: The target word is predicted based on the context words. A major benefit of fastText.