Webinar: “ML System Design for Continuous Experimentation”

January 18, 2022

January 18, 2022

1:00 pm To 2:00 pm

Online: ET (USA)



Event Description

Spread awareness of open source languages and tools within the data science and data-centric community.

While ML model development is a challenging process, the management of these models becomes even more complex once they’re in production.

Shifting data distributions, upstream pipeline failures, and model predictions impacting the very dataset they’re trained on can create thorny feedback loops between development and production.

In this live webinar, we will

· Examine some naive ML workflows that don’t take the development-production feedback loop into account and explore why they break down.

· Showcase some system design principles that will help manage these feedback loops more effectively.

· Explore several industry case studies where teams have applied these principles to their production ML systems.

Check for more free ODSC webinars – https://hubs.li/H0Zycsf0


ODSC Team | odsc.com

One Broadway Cambridge, MA 02142


About the Organizers

The Open Data Science Conference brings together leaders and practitioners in the open source and data science communities to teach the tools, languages and technologies used in applied data science and AI.

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