Jim Webber

Chief Scientist


Graphs are hot in data science right now, but what does that even mean? Graph data science encompasses everything from classical network science to cutting edge neural networks, so it can be hard to understand how graphs can be useful for your project, and where you can get started. This talk will cover the basics - how graphs are relevant to the problems you need to solve - and how to get started using graph techniques. You'll learn how to improve your predictions with the data you already have, and how to use graph algorithms and machine learning to find what's most important in your connected data.