Overview of Graph and Machine Learning with TigerGraph

Overview of Graph and Machine Learning with TigerGraph
TigerGraph ML Workbench: unlock better and faster predictions with connected data

Details:
TigerGraph's Machine Learning Workbench is a toolkit that accelerates the development of graph-enhanced machine learning on top of TigerGraph Database. It has both in-database machine learning functionalities as well as a user-friendly Python framework to deliver more accurate ML models, more quickly. Due to its accurate predictive power, the ML Workbench enables organizations to unlock even better insights and greater business impact.

Attend this live webinar to learn:

• Why graph ML
• Why graph ML with TigerGraph (ML workbench core values)
• Easy onboarding with tgcloud.io
• Enhance your ML model with graph features (featurizer)
• Improve your ML modeling with GNN
• Fraud detection demo

Speakers:
Zhixian Yan,
Director of ML, TigerGraph

Bill Shi,
Sr ML Architect/Manager, TigerGraph