With machine learning becoming more and more an engineering problem, the need to track, work together, and easily deploy ML experiments with integrated CI/CD tooling is becoming more relevant than ever. In this session, we take a deep-dive into Azure Machine Learning service, a cloud service that you can use to track as you build, train, deploy, and manage models. We zoom into the building blocks provided and show, through some demos, how to use them.
At the end of this session you will have a good grasp of the technological building blocks of Azure machine learning services just waiting to be used in your own projects.
You will learn:
- About the AI landscape in Azure
- How to create a deep learning model with Azure Machine Learning Services
- How the data science process works