Open Source Summit + ELC North America 2019

Kubernetes is evolving to be the hybrid solution for deploying complex workloads on private and public clouds. KubeFlow is an open source project that provides Machine Learning (ML) resources on Kubernetes clusters.

This talk will provide an introduction to KubeFlow, and its main components. Kubeflow is an open source platform for developing and running kubernetes-native machine learning workloads. Then, we’ll walk through a small end-to-end example of machine learning using Jupiter notebooks, converting it to a MLJob and using a trained model for machine serving to demonstrate the power of KubeFlow components and its kubernetes native approach.

The session will include a demonstration of a machine learning model for a recommender, suggesting products based on customers’ prior purchases and a products that a company wants to promote.

Attendees will learn the basics of kubeflow, machine learning and how to get involved in the kubeflow community. Code samples will be provided.