Building Machine Learning Workflows: Lessons Learned

Matei Zaharia, discusses the development of the Databricks platform and the challenges of building effective machine learning workflows. He emphasizes the importance of validation and use case analysis when adding new concepts to a project. He recalls adding concepts one by one, and ensuring that they were thoroughly tested and validated for potential users. He also highlights the importance of keeping the number of concepts low and the platform simple, which makes it easier for people to learn and use. …

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