Azure AutoML

Get started with Azure AutoML in ML Studio

This introductory lesson will walk you through everything you need to know to quickly get started with Azure ML Studio using AutoML. After creating the necessary resources, you'll walk through the steps needed to create a regression job using a dataset. Next you'll create a compute cluster and review the different options available and finally, you'll analyze the results after the best model is selected.

In this video you will learn how to:

• Create an Azure ML Studio service along with a workspace
• Use Azure ML Studio and how you can use it for AutoML
• Create compute clusters and use different options like dedicated or low priority
• Import a dataset and optimize it for AutoML using regression

About your instructor

Alfredo Deza has over a decade of experience as a Software Engineer doing DevOps, automation, and scalable system architecture. Before getting into technology he participated in the 2004 Olympic Games and was the first-ever World Champion in High Jump representing Peru. He currently works in Developer Relations at Microsoft and is an Adjunct Professor at Duke University. This solid background in technology and teaching, including his experience creating courses for Machine Learning and publishing ML books like Practical MLOps is applied throughout video.

Resources

• Azure Fundamentals Certification

• Practical MLOps book

• Azure AI Fundamentals Certification