According to recent studies, many machine learning workloads fail before they reach production. In this session, we invite you to hear our experience of successful machine learning projects. We will share the best practices in each phase of the machine learning lifecycle: scoping, data, modeling, and deployment. And we will demonstrate how AWS ML services can help you increase productivity, accelerate machine learning lifecycle and improve success rates.
