In this Graph & Beyond Lunch Break, ArangoDB Head of Engineering and Machine Learning Jörg Schad gives an overview of different parts of the ML pipeline and how ArangoDB fits in. In particular, he discusses feature engineering, Graph ML, Embeddings, MLOps, and Metadata.
Spoiler: There are a number of Jupyter notebooks allowing you to get hands-on experience!
To dive deeper into ArangoML, visit our GraphML landing page.
Jörg Schad, Ph.D.
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.