Hello TigerGraph Community,
I wanted to share some insights on how TigerGraph plays a pivotal role in my journey to becoming a successful machine learning engineer. Drawing from my recent experience and some valuable resources, including become a machine learning engineer and machine learning workbench. I believe this integration can significantly enhance my skills and project outcomes.
But I want to learn more about Master Graph Databases because you know Graph databases like TigerGraph are crucial for ML tasks involving complex data relationships. I want to know how to model and query graph data can give me an edge?
TigerGraph’s GSQL language and its integration with ML tools are very important to learn. I want to have TigerGraph’s extensive documentation and tutorials to get proficient.
Thanks