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Seattle, WA
December 10–13, 2018
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Tuesday, December 11 • 1:45pm - 3:10pm
Tutorial: Kubeflow End-to-End: GitHub Issue Summarization - Michelle Casbon & Amy Unruh, Google (Limited Seating Available - See Description for Details)

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IMPORTANT NOTE: Due to the nature of tutorials, this session has been placed in a smaller capacity room to help facilitate a conducive learning environment. Space is very limited and seating will be given on a first come-first serve basis. The tutorial will be recorded and viewed on the CNCF YouTube channel after the event concludes. Thank you for your understanding.

Kubeflow is an OSS machine learning stack that runs on Kubernetes.
In this session, you will learn how to install and use Kubeflow to support a full ML workflow.

You'll build an automatic summary generator using a public dataset of GitHub Issues. In the process, you'll install Kubeflow from scratch, preprocess your dataset, then perform training of a TensorFlow NLP model. You'll then evaluate your trained model, serve it, and interact with the prediction endpoint from a web front-end.

You will become familiar with Google Cloud Platform and OSS tools and services such as Apache Beam, TFX, Cloud Shell, Kubernetes Engine, Cloud Storage, and Container Registry. All components are built from source in the Kubeflow Examples repository and are directly transferable to other environments (local, on-prem, and other cloud providers).

Prerequisite: familiarity with Kubernetes.

Moderators
SG

Steve Greenberg

Tutorial Assistant, Google
GG

Gonzalo Gasca Meza

Tutorial Assistant, Google

Speakers
avatar for Michelle Casbon

Michelle Casbon

Senior Engineer, Google
Michelle Casbon is a Senior Engineer on the Google Cloud Platform Developer Relations team, where she focuses on open source contributions and community engagement for machine learning and big data tools. Prior to joining Google, she was at several San Francisco-based startups as... Read More →
AU

Amy Unruh

Developer Relations Engineer, Google
Amy Unruh is a Developer Relations Engineer for the Google Cloud Platform, where she focuses on machine learning and data analytics as well as other Cloud Platform technologies. Amy has an academic background in CS/AI, has worked at various startups and R&D labs, and published a book... Read More →



Tuesday December 11, 2018 1:45pm - 3:10pm
Yakima 1 @ TCC The Conference Center (TCC) - Separate from WSCC building