As growth of Big Data and IoT, machine learning plays an important role and embedded in many systems. Because the behaviour of trained-model is generated statistically based on training data, it is hard to develop machine learning-based systems with enough quality.
The goal of this project is to establish an engineering discipline on machine learning-based systems, which provides the systems with the value and quality. We integrate software engineering perspective and the theory of machine learning into the discipline, so called machine-learning systems engineering.
Nobukazu Yoshioka（Associate Professor, National Institute of Informatics)
Japan Advanced Institute of Science and Technology, Lifematics Inc.