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Visualize - Bringing Structure to Unstructured Data // Markus Stoll // #258

MLOps.community

NOTE

Embrace Imperfection to Inspire Progress

Focusing on specific questions within a project streamlines data preparation, avoiding the trap of striving for a perfect dataset from the start. Commencing with a usable, yet imperfect dataset allows for practical insights gained through active use, such as training classifiers. This iterative approach enables rapid assessment of the dataset's issues, addressing real problems instead of aiming for unattainable perfection. Adopting a mindset similar to that of a Minimum Viable Product (MVP) encourages timely action, as market readiness and learning from initial iterations are more valuable than waiting to achieve an ideal outcome.

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