Natural Language Code Search for GitHub Using Kubeflow
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 leve …
| Talk Title | Natural Language Code Search for GitHub Using Kubeflow |
| Speakers | Hamel Husain (Senior Data Scientist, GitHub), Jeremy Lewi (Senior Software Developer, Google) |
| Conference | KubeCon + CloudNativeCon North America |
| Conf Tag | |
| Location | Seattle, WA, USA |
| Date | Dec 9-14, 2018 |
| URL | Talk Page |
| Slides | Talk Slides |
| Video | |
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.
