Learn how to use graph machine learning to analyze and understand complex, connected data at scale on the cloud. We will cover the basics of graph machine learning and discuss how to apply it to real-world problems, using VertexAI on Google Cloud.
Are you interested in using machine learning to analyze and understand complex, connected data? Have you been looking for a way to scale your analysis to larger datasets, but don’t know where to start? Look no further! In this talk, we will explore the exciting field of graph machine learning on the cloud. Everything, of course, in Python.
Graphs are a powerful way to represent and analyze relationships in data, and machine learning techniques can be used to uncover hidden patterns and make predictions on graph data. However, traditional machine learning approaches can be limited when it comes to scaling to larger datasets. That’s where the cloud comes in. By leveraging the power and resources of the cloud, we can efficiently perform graph machine learning at scale.
In this talk, we will cover the basics of graph machine learning and discuss how it can be applied to a variety of real-world problems. We will also walk through practical examples of using Google Cloud Platform (GCP) and VertexAI, to perform graph machine learning at scale. Whether you are a data scientist, engineer, or simply curious about the power of machine learning on graphs, this talk is for you.”