Bring ML on Kubernetes with Kubeflow

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What is Kubeflow?
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The Kubeflow project is dedicated to making deployments of machine learning (ML) workflows on Kubernetes simple, portable and scalable. Our goal is not to recreate other services, but to provide a straightforward way to deploy best-of-breed open-source systems for ML to diverse infrastructures. Anywhere you are running Kubernetes, you should be able to run Kubeflow.

To be covered
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- Container vs Virtualization
- Overview of Docker containerization system
- Overview of Kubernetes
- Kubeflow:
* Challenges KF is trying to address
* KF components
* Presentation of KF Python SDK
* Demo