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1 + 1 = 1 or Record Deduplication with Python
1 + 1 = 1 or Record Deduplication with Python | Flávio Juvenal @ PyBay2018
Deriving and comparing deduplication techniques using a model-based classification
Finding DUPLICATES IN TABULAR DATA with Jupyter and Prodigy
Neo4j Live: Entity Resolution and Deduplication with Neo4j and GenAI
Big Data Deduplication and data matching using Python
Mastering Entity Resolution with ANN Blocking: Insights from Auction Data
Machine Learning and Deduplication
Entity Deduplication at Scale - Frits Hermans & Stan Leisink
Deduplipy: a New Deduplication Package - Frits Hermans | PyData Global 2021
Deduplication and Author Disambiguation of Streaming Records via Supervised Models -Reza Karimi
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Last Updated: September 28, 2026
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Summary
Speaker: Flávio Juvenal Record This talk was presented at PyBay2018 - the Bay Area Regional Authors: Jürgen Kaiser, André Brinkmann, Tim Süß, Dirk Meister Abstract: Data Prodigy is a modern annotation tool for collecting training data for machine learning models, developed by the makers of spaCy. Starting with a knowledge graph constructed from unstructured data with the help of LLMs, we'll address the common challenge of ... Andrew Rowe 2013.pycon-au.org/schedule/30045/view_talk Andrew Rowe will present the lessons learnt and techniques ... Machine learning and record linkage: Finding duplicates Combining transactions that refer to the same company is an important step in money laundering detection models. However ... "Here we present a general supervised framework for record
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