The US government has reopened following its longest-ever shutdown, setting the stage for the eventual release of the gold-standard federal data that is crucial in analyzing the health and trajectory ...
Diccon Hyatt is an experienced financial and economics reporter who has covered the pandemic-era economy in hundreds of stories over the past two years. He's written hundreds of stories breaking down ...
PSA: Windows 11 24H2 users who recently installed the KB5063878 update should avoid file transfers exceeding 50GB for now. Those who haven't updated yet should delay the security patch until more ...
Personally identifiable information has been found in DataComp CommonPool, one of the largest open-source data sets used to train image generation models. Millions of images of passports, credit cards ...
ABSTRACT: Ordinal outcome neural networks represent an innovative and robust methodology for analyzing high-dimensional health data characterized by ordinal outcomes. This study offers a comparative ...
Wrapping up a multi-week series on Crafting Data Personas. What are they, why are they important, and how to get started. Continuing from last week, we’re diving right into examples of personas. I ...
Most of what we understand about eviction trends in a given city or county comes from local court records. Often the best way to access these records is through a data request. This resource includes ...
Halva—‘grapHical Analysis with Latent VAriables’—is a Python package dedicated to statistical analysis of multivariate ordinal data, designed specifically to handle missing values and latent variables ...
In today’s data-driven world, data entry skills are more valuable than ever. Most data entry roles require a high school diploma or GED, making them accessible to a wide range of job seekers. Whether ...
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