Using Multi-Model for Machine Learning Metadata

In this talk, the ArangoDB ML Developer Relations Engineer Chris Woodward will walk you through how to use ArangoML Pipeline to gather metadata from your pre-existing machine learning pipelines.

He will use the California housing dataset originally pulled from the UCI machine learning repository and generate a simple example model to show how to capture metadata.

This talk will use a publicly available Google Colab notebook, no other tools will be necessary, and attendees are encouraged to follow along.

Join the Bugout Slack dev community to connect with fellow data scientists, ML practitioners, and engineers: https://join.slack.com/t/bugout-dev/shared_invite/zt-fhepyt87-5XcJLy0iu702SO_hMFKNhQ