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Graph Data Science Overview
We are delighted to present a special Neo4j Graph Data Science Overview session together with RAIN Africa
Talk:
The session will provide an introduction to graph theory and its applications in data science. The session covers the basics of graph theory, including definitions of nodes and edges, and how graphs can be used to model complex relationships between data points. We will also go over common graph algorithms, such as PageRank and community detection, and how they can be used to analyze large datasets. Overall, the session will provide a useful introduction to the field of graph data science and its potential for solving complex data problems.
Talk:
The session will provide an introduction to graph theory and its applications in data science. The session covers the basics of graph theory, including definitions of nodes and edges, and how graphs can be used to model complex relationships between data points. We will also go over common graph algorithms, such as PageRank and community detection, and how they can be used to analyze large datasets. Overall, the session will provide a useful introduction to the field of graph data science and its potential for solving complex data problems.