How ML Keeps Shelves Stocked at Home Depot with Pat Woowong - TWiML Talk #175
The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)
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Complexity in Deploying a Button on Shelves at Home Depot
The chapter delves into the intricate process of deploying a button on shelves at Home Depot stores, highlighting factors like deployment processes, checks to prevent breaking changes, and sending tasks to stores for shelf fixing based on confidence thresholds. It discusses the importance of periodic retraining in machine learning models, the implementation of ETL pipelines in BigQuery, and the use of active learning in updating models dynamically on a Kubernetes cluster.
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