Isabel Zimmerman demonstrates how to build, deploy and monitor machine learning models using the Open Data Hub project for simplified end-to--end machine learning workflows. Isabel shows an ML workflow that includes Jupyter notebooks, Seldon for model hosting, Prometheus and Grafana for data visualization.
Learn more: http://openshift.com/ai-ml
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