This Week in Neo4j – Hidden Markov Model, SQL Server to Neo4j, Fraud Detection with Graphs

Neo4j's Developer Relations team has published a week's worth of videos and blog posts covering various topics related to graph databases, including fraud detection with graphs, graphing r/WallStreetBets and r/Investing communities, migrating SQL Server graph databases to Neo4j, phonetic search in Neo4j 4, Monaco Editor, OpenTelemetry Instrumentation, implementing Hidden Markov Models for POS tagging using Neo4j graphs. The team also highlighted a featured community member, Michael Moore, who is an expert in deploying large-scale knowledge graphs using cutting-edge technologies and has spoken at multiple GraphConnect and GraphTour events.

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