Qunar Tech Salon
Dec 29, 2015 · Artificial Intelligence
Technical Debt in Machine Learning Systems
The paper examines how machine‑learning systems inherit unique forms of technical debt—such as boundary erosion, entanglement, hidden feedback loops, and data‑dependency issues—and discusses mitigation strategies, measurement techniques, and cultural changes needed to maintain sustainable, reliable ML deployments.
Machine Learningdata dependenciesfeedback loops
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