Rapid Iteration and ML Model Deployment at Dropbox
Offered By: MLOps World: Machine Learning in Production via YouTube
Course Description
Overview
Discover how Dropbox leverages open-source tools and custom solutions to accelerate ML model prototyping and deployment in this 29-minute conference talk from MLOps World: Machine Learning in Production. Join Richie Frost, Software Engineer at Dropbox, as he explores the challenges faced in the MLOps field and shares strategies for reducing iteration times from weeks to under an hour. Learn about the innovative approaches used to overcome obstacles in rapid prototyping and deployment, enabling organizations to keep pace with the rapidly evolving AI landscape. Gain valuable insights into streamlining the process of turning ML prototypes into production-ready products, and understand how these techniques can be applied to enhance your own MLOps practices.
Syllabus
From Prototype to Product: Rapid iteration and ML model deployment at Dropbox
Taught by
MLOps World: Machine Learning in Production
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