Hidden Technical Debt in Machine Learning Systems
Entanglement. Machine learning systems mix signals together, entangling them and making iso-lation of improvements impossible. For instance, consider a system that uses features x1,...x n in a model. If we change the input distribution of values in x1, the importance, weights, or use of the remaining n − 1features may all change.
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