October 28–31, 2019
Jeremy Lewi
Software Engineer, Google
Jeremy Lewi is a cofounder and lead engineer for the Kubeflow project at Google—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 and now Kubeflow.
Sessions
11:00am–11:40am Wednesday, October 30, 2019
Location: Grand Ballroom A/B
Hamel Husain (GitHub),
Omoju Miller (GitHub),
Michal Jastrzebski (GitHub),
Jeremy Lewi (Google)
Average rating:
(4.50, 2 ratings)
Software development is central to machine learning, regardless of if you're prototyping in a Jupyter notebook or building a service for millions of users. Hamel Husain, Omoju Miller, Michał Jastrzębski, and Jeremy Lewi show you how to use a freely available, natural language dataset to build practical applications for anyone who writes software using TensorFlow.
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