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Ebook

Machine Learning Engineering for the Real World

Machine Learning Engineering for the Real World

Databricks
Pages 39 Pages

This eBook, based on “Machine Learning Engineering in Action” by Ben Wilson, guides readers through successfully implementing large-scale ML projects from planning to production. It covers key components, core principles, and the roles involved in ML engineering. Databricks supports this process by offering an integrated platform that streamlines data management, collaborative development, and scalable deployment, enabling teams to efficiently build, test, and operationalize machine learning models in real-world applications.

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