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Thursday, June 22 • 10:40am - 10:52am
Sustainable Machine Learning Workflows at Production Scale with Julia

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The recent advances in machine learning and artificial intelligence are amazing, and Julia seems poised to play a significant role in these fields. Yet, in order to have real value within a company, data scientists must be able to get their models off of their laptops and deployed within a company’s distributed data pipelines and production infrastructure. In this talk, we will implement an ML model locally and talk about the trouble we can get into taking this to production. Then, against all odds, we will actually deploy the model in a scalable manner to a production cluster. Now that’s a pretty good 10 minutes!


Speakers
avatar for Daniel Whitenack

Daniel Whitenack

Data Scientist and Lead Developer Advocate, Pachyderm
Daniel (@dwhitena) is a Ph.D. trained data scientist working with Pachyderm (@pachydermIO). Daniel develops innovative, distributed data pipelines which include predictive models, data visualizations, statistical analyses, and more. He has spoken at conferences around the world... Read More →


Thursday June 22, 2017 10:40am - 10:52am
West Pauley Pauley Ballroom, Berkeley, CA