Workshop / Overview
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.
Workshop / Outcome
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.
Workshop / Difficulty
Workshop / Prerequisites
- Intermediate level in ML and data science
- Working knowledge in open source Python Machine Learning stack is preferred, but R and Matlab users welcome
- No business knowledge or expertise required
- Only Python can be deployed to the cloud
Track / Co-organizers
TensorFlow Basics 2019 – Saturday
With Bartek Wołowiec, Megan Ruthven, Ruslan Habalov & Andreas Steiner09:00-16:30 January 26