Managing Technical Debt
Moving fast in software development often leads to technical debt, which is especially pronounced in machine learning. As models evolve, the temptation to add numerous features can create dependencies that obscure their true value, leading to diminishing returns in accuracy. It's crucial to recognize and manage these costs to ensure long-term success.In this clip
From this podcast
Gradient Dissent - A Machine Learning Podcast
D. Sculley — Technical Debt, Trade-offs, and Kaggle
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