The combination of machine learning with network graphs promises deep insights with clarifying context. Join data scientists and KC Graph Database Meetup organizers Erin Schuberth and Nathan Smith on the campus of Rockhurst University to explore this potent combination. Learn how to incorporate graph features into traditional machine learning models, and find out about new research into graph-specific algorithms like node embeddings and graph convolutional networks.
The Data Science KC Meetup and Kansas City Graph Databases Meetup are combining forces for this event. Because space is limited, please reserve a ticket on Eventbrite. https://www.eventbrite.com/e/machine-learning-with-graphs-tickets-87372773317
6:00 Networking and snacks
6:15 Welcome and introductions
6:30 Presentation from Erin Schuberth and Nathan Smith
The campus address is 1100 Rockhurst Road, Kansas City, MO 64110. We are southeast of the Plaza and near 71 Highway and Emanuel Clever Blvd. The university is located along 52nd Street between Paseo and Troost. You will park in the North Parking Garage which can be accessed on Troost (#20 on the campus map). The electronic gate will be up, so please park anywhere after going through the gate unless otherwise marked.