A Risk Management Process for Machine Learning Projects
Carnegie-Mellon University, Software Engineering Institute Pittsburgh United States
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Many machine learning projects fail, underwhelm, or backfire. In the present work, I have identified three common risks in machine learning projects. To mitigate these risks, I describe a general risk management process that takes place before a project launches.
- Administration and Management