Neo4j at ODSC East 2021

Thanks for joining us at Open Data Science Conference East!  

There are still plenty of opportunities to learn how Neo4j’s enterprise-ready graph data platform helps you answer previously intractable questions with integrated analytics, graph native machine learning, and other advanced data science capabilities.

Catch the reply! If you missed our session on how connected data delivers better machine learning or didn't attend our graph data science demo, you can listen below.

Ready to get started with graphs? Here are a few resources to get you started.

• Getting Started with Graph Data Science
• Whitepaper: Artificial Intelligence & Graph Technology
• Try Neo4j for FREE

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Session:

Relationships Matter: Using Connected Data for Better Machine Learning

Relationships are highly predictive of behavior, yet most data science models overlook this information as it's difficult to extract network structure to use at scale in machine learning (ML). With graphs, relationships are embedded in the data itself, making it practical to add these predictive capabilities to your existing practices. In this session, you’ll learn more about using graph-native ML to make break-through predictions, taking different approaches to graph feature engineering from queries and algorithms to embeddings, and how Neo4j has democratized graph-based ML techniques, leveraging everything from classical network science approaches to deep learning and graph convolutional neural networks.

SPEAKER

Dr. Alicia Frame

Lead Data Scientist, Neo4j 

LinkedIn

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Neo4j Demo: 

A Graph Data Science Framework for Enterprise

Thinking about adding relationships to improve your machine learning predictions? Or maybe you’re creating a knowledge graph for investigating dependencies or finding counterfactuals.  Join us for a demo of Neo4j’s enterprise-ready graph data platform and see firsthand how easy it is to start using the world's most widely deployed graph database.

SPEAKER

Stuart Laurie

Senior Field Engineer, Neo4j

LinkedIn