Equipment failure in heavy industry (maritime, oil and gas, mining...) accounts for millions of dollars in downtime and repairs annually. In this workshop, we will go through a use case of detecting non-normal equipment behavior using sensor data. You will be training models on historic data and have to deploy these models into a cloud environment to make predictions on live stream data.
This is an opportunity to familiarize yourself with end-to-end unsupervised Machine Learning in a production environment. You will also have a chance to productionize your trained Machine Learning model by deploying it into the cloud.
Data Scientist, Arundo Analytics