Abstract
AbstractMachine learning (ML) techniques have been introduced into various domains in recent years. Thus, it is important to construct reusable knowledge on projects that develop ML-based service systems to implement such projects effectively. In this study, the collection of insights and as well as the development of architecture and design patterns for ML-based service systems are considered. We propose a method for collecting insights and developing patterns for ML projects by referring a development model based on project practices.KeywordsMachine learningML service systemPattern
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