Kubeflow Update and Demonstration

Thursday 18th August 6pm BST (12pm CST)

Python Live is a series of live events designed to connect the tech community and drive exposure & learning to Machine Learning, Data Engineering and Python professionals.

By bringing successful people together, we can add value to tech professionals who want to develop their skillset as well as tech leaders who want to develop their team.

Kubeflow requires an advanced team with vision and perseverance, and so does solving the world’s hardest problems.

This Kubeflow update will cover:

• What is Kubeflow and why market leaders use Kubeflow
• User feedback from Kubeflow User Survey
• An update on Kubeflow 1.6
• Kubeflow use case demo - Build a pipeline from a jupyter notebook
• How to get involved with Kubeflow.

With over 7,000 slack members, Kubeflow is the open source machine learning platform that delivers Kubernetes native operations. Kubeflow integrates software components for model development, training, visualization and tuning, along with pipeline deployments, and model serving. It supports popular frameworks i.e. tensorflow, keras, pytorch, xgboost, mxnet, scikit learn and provides kubernetes operating efficiencies.

In this workshop, Josh Bottum will review why market leaders are using Kubeflow and important feedback received in the Kubeflow User Survey. He will also review the Kubeflow release process and the benefits coming in Kubeflow 1.6. Demo gods willing, Josh will also provide a quick demo of how to build a Kubeflow pipeline from a Jupyter notebook. He will finish with information on how to get involved in the Kubeflow Community.

Bio

Josh Bottum has volunteered as a Kubeflow Community Product Manager since 2019. Over the last 12 releases, Josh has helped the Kubeflow project by running community meetings, triaging GitHub issues, answering slack questions, recruiting code contributors, running user surveys, developing release roadmaps and presentations, writing blog posts, and providing Kubeflow demonstrations.

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