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Graph Embeddings - Ways Your AI Can Learn From Your Connected Data - Nicolas Rouyer

Offered By: Open Data Science via YouTube

Tags

Artificial Intelligence Courses Data Science Courses Machine Learning Courses Neo4j Courses Graph Databases Courses Graph Embeddings Courses

Course Description

Overview

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Explore five powerful ways to leverage graph embeddings for AI learning from connected data in this 29-minute video featuring Nicolas Rouyer, a pre-sales engineer at Neo4j. Delve into the versatility of graph representations for diverse datasets, from supply chains to fraud detection. Learn how to uncover hidden insights and patterns within complex relationships to enhance machine learning and AI algorithms. Gain valuable knowledge from Rouyer's 22 years of IT experience, including his background as a Big Data expert at Orange. Watch a practical demo and discover key takeaways to unlock the true potential of interconnected data for your AI applications.

Syllabus

- Introductions
- Neo4j
- Graphs & AI: Neo4j Graph Data Science Library
- Graph Embedding
- Graph Embedding: Use Cases
- Demo
- Key Takeaways


Taught by

Open Data Science

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