Optimizing Data Engineering
Matthew and Daniel discuss the importance of planning and optimizing data engineering for AI algorithms, emphasizing the need to only include necessary data and remove irrelevant information. They highlight the example of automating the diagnosis of a boxer fracture and the potential misuse of derived information from the model.In this clip
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Practical AI
Data management, regulation, the future of AI
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