KubeCon + CloudNativeCon China 2018

Ever wondered how machine learning models are built? Well, here’s your opportunity to come spend a day in the life of a data scientist. This will be a practical guide to the day-to-day lifecycle of a machine learning model. Dive end-to-end through code collaboration, dataset preparation, training and serving. We will cover how to utilize open source tools like Kubeflow and offer an in-depth view of how they operate and aide the machine learning development lifecycle. This session is for both data scientists and infrastructure/SRE teams alike helping bring the benefits of DevOps to AI and machine learning.