Remove 2016 Remove Big Data Remove Predictive Modeling Remove Testing
article thumbnail

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.

article thumbnail

What is Model Risk and Why Does it Matter?

DataRobot Blog

With the big data revolution of recent years, predictive models are being rapidly integrated into more and more business processes. When business decisions are made based on bad models, the consequences can be severe.

Risk 111
article thumbnail

Using random effects models in prediction problems

The Unofficial Google Data Science Blog

Through simulation we illustrate issues with model fitting techniques that depend on matrix factorization. Far from hypothetical, we have encountered these issues in our experiences with "big data" prediction problems. both L1 and L2 penalties; see [8]) which were tuned for test set accuracy (log likelihood).