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Neo4j Live: Graph Algorithms for Data Science
Tomaz Bratanic recently published “Graph Algorithms for Data Science” and in this livestream we are talking about his book and the potential of graph-based data analysis.
In this live session, you’ll learn about labelled-property graph modelling, constructing graphs from structured and unstructured data, the Cypher query language, social network analysis algorithms, and translating graph structures for machine learning models. Tomaz will share insights on applying these techniques in fields such as machine learning, fraud detection, and business data analysis, complemented by hands-on projects like analyzing Twitter data and building graphs with NLP techniques.
More about the Book: https://www.manning.com/books/graph-algorithms-for-data-science
In this live session, you’ll learn about labelled-property graph modelling, constructing graphs from structured and unstructured data, the Cypher query language, social network analysis algorithms, and translating graph structures for machine learning models. Tomaz will share insights on applying these techniques in fields such as machine learning, fraud detection, and business data analysis, complemented by hands-on projects like analyzing Twitter data and building graphs with NLP techniques.
More about the Book: https://www.manning.com/books/graph-algorithms-for-data-science