Graph Analytics with ArangoDB
Many powerful Machine Learning algorithms are based on graphs, e.g., Page Rank (Pregel), Recommendation Engines (collaborative filtering), text summarization and other NLP tasks.
In this hands-on workshop, ArangoDB Head of Engineering Jörg Schad and Developer Relations Engineer Chris Woodward will explore a number of use cases suitable for Graph Analytics — and in particular leverage ArangoDB’s Graph Algorithms Library.
Colab Notebooks will be leveraged throughout this workshop, so access to a recent browser is sufficient to participate.
About the Presenter:
Jörg Schad is the Head of Engineering and Machine Learning at ArangoDB. In a previous life, he worked on Machine Learning Infrastructure in health care, distributed systems at Mesosphere, implemented distributed and in-memory databases, and conducted research in the Hadoop and Cloud area. He’s a frequent speaker at meetups, international conferences, and lecture halls.
Chris has over 10 years experience at all angles of technology including service, support, and development. He is also passionate about learning and right now he is focused on improving the learning experience for the ArangoDB community. Chris believes the future is native multi-model and wants to help tell the world.
Form should be updated