  The boom of deep learning induced many industries and academies to introduce
machine learning based approaches into their concern, competitively. However,
existing machine learning frameworks are limited to sufficiently fulfill the
collaboration and management for both data and models. We proposed NSML, a
machine learning as a service (MLaaS) platform, to meet these demands. NSML
helps machine learning work be easily launched on a NSML cluster and provides a
collaborative environment which can afford development at enterprise scale.
Finally, NSML users can deploy their own commercial services with NSML cluster.
In addition, NSML furnishes convenient visualization tools which assist the
users in analyzing their work. To verify the usefulness and accessibility of
NSML, we performed some experiments with common examples. Furthermore, we
examined the collaborative advantages of NSML through three competitions with
real-world use cases.
