Introduction to Kubeflow

Introducing Kubeflow: Orchestrating Machine Learning Development

As the involvement of Machine Learning components in software products is increasing rapidly, there is a growing need for tools to operate and orchestrate Machine Learning development and deployment.

One of those tools is Kubeflow. Developed by Google for the Open Source community, this tool aims to organize the cycle of model development, testing, and deployment on the infrastructure of Kubernetes.

In this talk, we will introduce the tool, its capabilities, and its integration in the infrastructure of organizations.

Big Data Architect & Machine Learning Engineer

Backend Group
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