Deploying ML Metrics
Dominik discusses the challenge of defining and maintaining meaningful metrics in machine learning projects, emphasizing the importance of ensuring the metrics track what truly matters. The conversation delves into the complexities of optimizing functions and the potential pitfalls of over-optimization, highlighting the ongoing dilemma of metric relevance in the ever-evolving landscape of machine learning.In this clip
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