The Challenges of ML Deployment
Derek, Kevin, and Eddie discuss the difficulties of deploying machine learning models and compare it to the challenges of software engineering. They explore the complexities of diverse skill sets, access to data, and the need for efficient feature development workflows. Despite advancements in tools and data foundations, there are still many points at which things can go wrong, making it challenging to get ML models into production.In this clip
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