Data Is In A Relationship, It’s Complicated

“A common misconception in data science is that more data increases accuracy and reduces false positives,” explained Alicia Frame, lead product manager and data scientist at Neo4j. “In reality, many data science models overlook the most predictive elements within data – the connections and structures that lie within. Neo4j for Graph Data Science was conceived for this purpose – to improve the predictive accuracy of machine learning, or answer previously unanswerable analytics questions, using the relationships inherent within existing data.”

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