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Data Day Texas – Introduction to Graph Data Science for Python Developers
Clair Sullivan, Neo4j Connected data is everywhere! In data science and machine learning we create models based on the idea that each data point within a set is an independent measurement. However, this assumption is relaxed when we are talking about connected data as represented in a network graph. We see instances of this in a variety of common data science problems such as from modeling customer churn to creating recommendation engines to detecting banking fraud.