Neo4j Graph Data Science is maturing! Two years after launching 1.0 in early 2020, we released version 2.0, where you'll find both new and reinforced concepts.
This session will show you how to manage and transform your graphs, how to use machine learning pipelines, and how to make the best use of your trained models – all with a focus on the dedicated GDS Python Client, which enables the data scientist to remain in a familiar environment without losing the strength of the Neo4j graph database in the backend.
Speakers: Mats Rydberg
Format: Full Session 30-45 min
Level: Advanced
Topics: #GraphDataScience, #APIDrivers, #Analytics, #MachineLearning, #BestPractices, #General, #Advanced
Region: APAC
Slides: https://dist.neo4j.com/nodes-20202-slides/069%20Fundamentals%20of%20Neo4j%20Graph%20Data%20Science%20Series%202.x%20%E2%80%93%20Pipelines%20and%20More%20-%20NODES2022%20APAC%20Advanced%2011%20-%20Mats%20Rydberg.pdf
Visit https://development.neo4j.dev/nodes-2022 learn more at https://development.neo4j.dev/developer/get-started and engage at https://community.neo4j.com