all AI news
Why Probabilistic Linkage is More Accurate than Fuzzy Matching or Term Frequency based approaches
Oct. 26, 2023, 11:02 p.m. | Robin Linacre
Towards Data Science - Medium towardsdatascience.com
How effectively do different approaches to record linkage use information in the records to make predictions?
A pervasive data quality problem is to have multiple different records that refer to the same entity but no unique identifier that ties these entities together.
In the absence of a unique identifier such as a Social Security number, we can use a combination of individually non-unique variables such as name, …
author dall data data quality data science entity-resolution image information multiple predictions quality record-linkage records
More from towardsdatascience.com / Towards Data Science - Medium
Enhance Your Network with the Power of a Graph DB
1 day, 2 hours ago |
towardsdatascience.com
Dissolving map boundaries in QGIS and Python
1 day, 3 hours ago |
towardsdatascience.com
Jobs in AI, ML, Big Data
Founding AI Engineer, Agents
@ Occam AI | New York
AI Engineer Intern, Agents
@ Occam AI | US
AI Research Scientist
@ Vara | Berlin, Germany and Remote
Data Architect
@ University of Texas at Austin | Austin, TX
Data ETL Engineer
@ University of Texas at Austin | Austin, TX
Lead GNSS Data Scientist
@ Lurra Systems | Melbourne