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 then 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 have a good grasp of the technological building blocks of Azure machine learning services. Just waiting to be used in your own projects afterwards.
Bio Henk Boelman
Henk is a Cloud Solutions Architect and Microsoft AI MVP from the Netherlands. He started out as a software developer in the late ’90s and later moved on to the role of architect. He now guides organisations in their cloud adventure, with a strong focus on creating intelligent cloud solutions. He loves to share his knowledge about topics such as DevOps, Azure and Artificial Intelligence by providing training courses and he is a regular speaker at user groups and international conferences.
