Neo4j Live: Rethinking Data: A Data Scientist’s First Dive into GQLs скачать в хорошем качестве

Neo4j Live: Rethinking Data: A Data Scientist’s First Dive into GQLs

What happens when a computer vision expert explores graph databases for the first time? Suha, a data scientist with a background in generative models, embeddings, and neural networks, steps into the world of graph thinking and graph query languages (GQLs). In this session, she shares her hands-on journey of modeling a public face recognition dataset (such as CelebA-HQ) as a graph - connecting people, facial attributes, and features in entirely new ways. You will see: Transform tabular and image-based data into a graph structure Experiment with graph tools and GQLs Query connected data to uncover patterns hidden in flat tables Rethink how relationships shape machine learning workflows If you come from SQL, Python, or an ML background and are curious about graph technology but don’t know where to start, this talk gives you a practical, beginner-friendly roadmap to launching your first graph-powered project. Speaker: Suha Mokalla LinkedIn:   / suha-mokalla-ph-d-aa7612107   GraphAcademy https://dev.neo4j.com/learn CelebA dataset: https://www.kaggle.com/datasets/jessi... Neo4j AuraDB: https://dev.neo4j.com/discover-aura #neo4j #graphdatabase #KnowledgeGraph #genai #llm #datascience #ml