Remove Data mining Remove Finance Remove Risk Remove Uncertainty
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Small Businesses Use Big Data to Offset Risk During Economic Uncertainty

Smart Data Collective

However, there are even more important benefits of using big data during a bad economy. As a result, they will need to invest in data analytics tools to sustain a competitive edge in the face of growing economic uncertainty. They can use data mining tools to evaluate the average interest rate of different lenders.

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The trinity of errors in financial models: An introductory analysis using TensorFlow Probability

O'Reilly on Data

Finance is not physics. Despite all the complicated mathematics of modern finance, its theories are woefully inadequate, especially when compared to those of physics. Perhaps finance is harder than physics. This observation is particularly applicable to finance. Image by Mike Shwe and Deepak Kanungo. Used with permission.

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Variance and significance in large-scale online services

The Unofficial Google Data Science Blog

Unlike experimentation in some other areas, LSOS experiments present a surprising challenge to statisticians — even though we operate in the realm of “big data”, the statistical uncertainty in our experiments can be substantial. We must therefore maintain statistical rigor in quantifying experimental uncertainty.

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Changing assignment weights with time-based confounders

The Unofficial Google Data Science Blog

One reason to do ramp-up is to mitigate the risk of never before seen arms. A ramp-up strategy may mitigate the risk of upsetting the site’s loyal users who perhaps have strong preferences for the current statistics that are shown. For the first example, consider a small website that is a platform for content on personal finance.