Jupyter Notebooks for machine learning on Kubernetes & OpenShift | DevNation Tech Talk

By Sophie Watson, Burr Sutter
May 19, 2020

In this session you will see how to take your machine model from development to production by watching the steps involved, which include: 1) Developing a ML model crafted via a Jupyter Notebook directly on top of Kubernetes/OpenShift; 2) Publishing that model as a service to be shared with your team or even the world; and 3) Monitoring the RESTful service via Grafana.

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