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How to Manage Unstructured Data in AI and Machine Learning Projects

DagsHub

Now that you know why it is important to manage unstructured data correctly and what problems it can cause, let's examine a typical project workflow for managing unstructured data. is similar to the traditional Extract, Transform, Load (ETL) process. It operates in three stages: Extract unstructured data from a source.