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Why model calibration matters and how to achieve it
by LEE RICHARDSON & TAYLOR POSPISIL Calibrated models make probabilistic predictions that match real world probabilities. This post explain...
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The Unofficial Google Data Science Blog
The Unofficial Google Data Science Blog by LEE RICHARDSON & TAYLOR POSPISIL Calibrated models make probabilistic predictions that match real world probabilities. This post explains why calibration ...
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Uncertainties: Statistical, Representational, Interventional
by AMIR NAJMI & MUKUND SUNDARARAJAN Data science is about decision making under uncertainty. Some of that uncertainty is the result of stat...
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The Unofficial Google Data Science Blog
The Unofficial Google Data Science Blog by TAMAN NARAYAN & SEN ZHAO A data scientist is often in possession of domain knowledge which she cannot easily apply to the structure of the model. On the on...
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Adding common sense to machine learning with TensorFlow Lattice
by TAMAN NARAYAN & SEN ZHAO A data scientist is often in possession of domain knowledge which she cannot easily apply to the structure of th...
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About this blog
This blog is the work of some data scientists at Google who wish to bring out stories of interest to data scientists outside of Google. As e...