ML platforms provide a suite of tools and infrastructure to streamline the entire machine learning lifecycle, from data preparation and model building to deployment and monitoring. They help data scientists and machine learning engineers collaborate, automate tasks, and accelerate the development and deployment of machine learning models. Common uses include building and deploying predictive models, automating machine learning workflows, and managing machine learning infrastructure.
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