Machine Learning Challenges
Tim discusses the hidden technical debt in machine learning systems, emphasizing the complexity and challenges such as entanglement, unstable data dependencies, and configuration debt. He also touches on the importance of data governance and ethical considerations before deploying machine learning models, highlighting the need for verbalizable decision-making processes.In this clip
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