Reusable Execution in Production Using Papermill (Google Cloud AI Huddle)

Опубликовано 13 июля 2019, 16:00

In this episode of Google Cloud AI Huddle, Matthew Seal, Senior Software Engineer at Netflix, goes over the pros and cons of using Jupyter Notebook and Papermill to make a reusable execution for production.

Deep Learning VMs → goo.gle/2ZNmmrG

Google AI Huddle is an open, collaborative and developer-first AI forum driven by Google AI expertise. It’s a monthly in-person engagement where Googlers engage with developers to speak on ML topics, deliver workshops / tutorials, and hands-on labs. AI Huddle is open to all GCP customers, startups and developers interested in learning about Google AI. The Huddle provides:

• Direct avenue to speak with Google experts on real problems they face in their ML and AI projects.
• Opportunity to hear about the latest developments from experts and peers in the industry and community.
• Engaging technical content and discussions to help address real development problems in ML.

AI Huddle → goo.gle/2WHFVAR
Cloud AI Office Hours → goo.gle/2HpUKS9


Watch other videos in playlist here → goo.gle/AIHuddle
Subscribe to the GCP channel → goo.gle/GCP


product: AI Platform Notebooks; fullname: Matthew Seal;