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Tons of modern software services, such as social media and ecommerce, include systems for recommending content to users. This video dives into the details of how to deploy a machine learning algorithm at scale for recommendations, and discusses how these systems are trained and used on a recurring basis.

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Table of Contents:
0:00 - Introduction
0:43 - ML Inputs and Outputs
2:07 - Training
2:58 - Training: Tracking Server
3:47 - Training: Incremental
5:05 - Training: Workflow Orchestration
6:01 - Inference: API
6:40 - Inference: Caching
8:03 - Next Steps

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