Kubeflow explained: Portable machine learning on Kubernetes
January 21, 2020
Michelle Casbon demonstrates how to build a machine learning application with Kubeflow. Kubeflow makes it easy for everyone to develop, deploy, and manage portable, scalable ML everywhere and supports the full lifecycle of an ML product, including iteration via Jupyter notebooks. Join Michelle to find out what Kubeflow currently supports and the long-term vision for the project.