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Building dynamic machine learning pipelines with KubeDirector

Thursday October 8, 2020, 10AM PDT CNCF Member Webinar
Presented by: Hewlett Packard Enterprise (HPE)

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Machine Learning (ML) pipelines are complex to set up and even more difficult to maintain when constantly shifting data models are required. In essence, you need a Dynamic ML Pipeline. In this webinar, we will discuss an example ML Pipeline centered around supporting an application that must predict travel times based upon a large data set of taxi ride data. We will walk you through the development of the full ML pipeline using Kubernetes and another Open Source application called KubeDirector. You will learn how to train, register, and finally, query your model for answers. In addition, you will learn how a new capability of KubeDirector called “Connections” enables a dynamic, always up-to-date ML model.


Tom Phelan Fellow, Software Organization @Hewlett Packard Enterprise

Kartik Mathur, Master Technologist @Hewlett Packard Enterprise

Donald Wake, Technical Marketing Engineer @Hewlett Packard Enterprise

Webinar Summary

Webinar: Building dynamic machine learning pipelines with KubeDirector

Date: Thursday October 8th, 2020

Time: 10:00 - 11:00 AM PDT

How to attend: Register for this webinar