论文标题
部署机器学习的挑战：案例研究的调查
Challenges in Deploying Machine Learning: a Survey of Case Studies
论文作者
论文摘要
近年来，机器学习已从学术研究兴趣领域转变为能够解决现实世界业务问题的领域。但是，机器学习模型在生产系统中的部署可能会提出许多问题和关注点。这项调查审查了在各种用例，行业和应用中部署机器学习解决方案的报告，并提取了与机器学习部署工作流程相对应的实际注意事项。通过映射发现了机器学习部署工作流程的挑战，我们表明从业者在部署过程的每个阶段都面临问题。本文的目的是制定研究议程，以探索解决这些挑战的方法。
In recent years, machine learning has transitioned from a field of academic research interest to a field capable of solving real-world business problems. However, the deployment of machine learning models in production systems can present a number of issues and concerns. This survey reviews published reports of deploying machine learning solutions in a variety of use cases, industries and applications and extracts practical considerations corresponding to stages of the machine learning deployment workflow. By mapping found challenges to the steps of the machine learning deployment workflow we show that practitioners face issues at each stage of the deployment process. The goal of this paper is to lay out a research agenda to explore approaches addressing these challenges.
