Learn how to sample and aggregate data in data wrangling for data analytics, using common techniques and tools. Reduce size and complexity, and improve quality.

AI/ML training traditionally has been performed using floating point data formats, primarily because that is what was available. But this usually isn’t a viable option for inference on the edge, where ...

We consider inference (filtering) problems over probabilistic graphical models with aggregate data generated by a large population of individuals. We propose a new efficient belief propagation type ...

The harms of this data collection, inference, and sale are clear. Data brokers have for decades scraped public records and published Americans’ home addresses and other information for search ...

This paper reviews methodological issues if non-probability data are used to compile official statistics. Two different research lines can be identified to use non-probabilty data sources in the ...