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Seattle, WA
December 10–13, 2018
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Wednesday, December 12 • 10:50am - 11:25am
Natural Language Code Search for GitHub Using Kubeflow - Jeremy Lewi, Google & Hamel Husain, GitHub

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Turning ML into magical products often requires complex, distributed systems that bring with them a unique, ML specific set of infrastructure problems. A year ago, we started building Kubeflow to leverage Kubernetes to solve these problems. In this talk, we will use the example of a search engine for code using natural language (http://bit.ly/gh-kf-search) to illustrate how Kubeflow and Kubernetes can be used to deploy and manage ML products.

Speakers
avatar for Hamel Husain

Hamel Husain

Senior Data Scientist, GitHub
Hamel Husain is a Senior Data Scientist at Github who is focused on creating the next generation of developer tools powered by machine learning. His work involves extensive use of natural language and deep learning techniques to extract features from code and text. Prior to Github... Read More →
avatar for Jeremy Lewi

Jeremy Lewi

Software Engineer, Google
Jeremy Lewi is a co-founder and lead engineer at Google for the Kubeflow project, an effort to help developers and enterprises deploy and use ML cloud-natively everywhere. He's been building on Kubernetes since its inception starting with Dataflow and then moving onto Cloud ML Engine... Read More →



Wednesday December 12, 2018 10:50am - 11:25am
Ballroom 6A
  • Skill Level Any