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Machine learning techniques are finding many applications in computersystems, including many tasks that require decision making: networkoptimization, quality of service assurance, and security. We believe machinelearning systems are here to stay, and to materialize on their potential weadvocate a fresh look at various key issues that need further attention,including security as a requirement and system complexity, and how machinelearning systems affect them. We also discuss reproducibility as a keyrequirement for sustainable machine learning systems, and leads to pursuing it.

Computer Systems Have 99 Problems, Let's Not Make Machine Learning Another One