Graph Gurus Workshop: Accelerating Machine Learning with Graph Algorithms
Recorded February 24, 2021
Today's analytical graph databases are taking organizations to another level by connecting their data, better representing knowledge, and obtaining answers to deeper questions in real-time. These benefits extend to the world of machine learning and AI.
Join us for a hands-on workshop, where you'll get the chance to perform several different approaches to machine learning with graph data. After setting up your free TigerGraph Cloud account, we'll do the following:
- Unsupervised learning with graph algorithms
- Feature extraction and graph enrichment
- External training and integrated solutions with notebooks
- In-database ML techniques for graphs
In addition, we will review datasets for multiple industries across various graph use cases, like fraud detection, Anti-money Laundering (AML), and recommendation engine.
Attendees should have a high-level understanding of supervised and unsupervised machine learning. Graph database or analytics experience is not necessary.
Victor Lee, Head of Product Strategy and Developer Relations, TigerGraph
Jonathan Herke, Developer Relations, TigerGraph
Monil Shah, Solution Architect, TigerGraph