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.


Steve Greenberg

Tutorial Assistant, Google

Gonzalo Gasca Meza

Tutorial Assistant, Google

avatar for Michelle Casbon

Michelle Casbon

Senior Engineer, Google
Michelle Casbon is a Senior Engineer at Google, where she focuses on open source for machine learning and big data tools. Prior to joining Google, she was at Qordoba as Director of Data Science and Idibon as a Senior Data Science Engineer. Within these roles, she built and shipped... Read More →
avatar for Amy Unruh

Amy Unruh

Staff 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 a PhD in CS/AI, has previously worked at a variety of R&D labs and startups, and published a book... Read More →

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