Commercial applications of graph data science are new and most data experts are still coming up to speed on how to best use it in their organizations. While some data experts studied graph theory, others have not had much exposure to it.
Graph data science brings together graph analytics, statistics, and AI and ML techniques to improve their predictive and prescriptive models. This paper walks you through the basics of graph data science so you will feel confident knowing when to use it in your daily work.
Description:
Why Graph Data Science and Why Now?
Commercial applications of graph data science are new and most data experts are still coming up to speed on how to best use it in their organizations. While some data experts studied graph theory, others have not had much exposure to it.
Graph data science brings together graph analytics, statistics, and AI and ML techniques to improve their predictive and prescriptive models. This paper walks you through the basics of graph data science so you will feel confident knowing when to use it in your daily work.