This category contains questions and discussions around TigerGraph’s Machine Learning (ML) Workbench.
TigerGraph’s Machine Learning (ML) Workbench Overview
TigerGraph’s Machine Learning (ML) Workbench is a Jupyter-based Python development framework that enables data scientists to quickly build powerful deep learning AI models using connected data. Due to its accurate predictive power, the ML Workbench enables organizations to unlock even better insights and greater business impact on node prediction applications such as anti-money laundering or edge prediction applications such as product recommendations.
Getting started with ML Workbench
Machine Learning Workbench Overview Video