Developing Machine Learning Products Better and Faster at Startups
Developing Machine Learning Products Better and Faster at Startups is a scholarly work, published in 2018 in ''IEEE Engineering Management Review''. The main subjects of the publication include semiconductor device reliability, software deployment, new product development, revenue, workflow, process management, software engineering, prioritization, big data, knowledge management, product lining, machine learning, product, and computer science. The paper demonstrates a three-phase ML product development workflow at OneClass.