Gradient Dissent: Conversations on AI cover image

Shreya Shankar — Operationalizing Machine Learning

Gradient Dissent: Conversations on AI

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The Four Stages of a Successful ML Deployment

Practitioners interviewed for the study identified four stages in their workflow around experimentation: evaluation and deployment monitoring and response, data collection, and versioning./nThe variables that govern success in each stage are the velocity of experimentation, the ability to validate early, and the stage of the product's development.

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