- A Cloud Guru
Preparing to Build a Pipeline in Azure Machine Learning Studio
In this lab, you will explore Azure Machine Learning designer. This lab is designed as a complete beginner lab with little to no background in artificial intelligence or machine learning. Azure Machine Learning designer is a great platform to introduce you to machine learning as you can build experiments with little to no code and without a deep understanding of algorithms or high-level math.
Table of Contents
Create a Machine Learning Workspace
Create an Azure Machine Learning workspace in the East US 2 region. Once created, become familiar with the interface, including how to access designer as well as create and attach compute to work with a pipeline.
Learn How to Access and Start Built-In Samples
Access the sample library in designer and open instances to provide additional learning opportunities.
- Create a
- Create a new container registry.
- Find and open designer.
- Create a new pipeline from the Microsoft sample pipeline: Recommendation - Movie Rating Tweets.
- Create a
Learn How to Identify the Components of a Machine Learning Experiment in the Sample
Review a sample pipeline and learn to identify core components found in Machine Learning experiments. Conclude by successfully running your first pipeline.
- Complete the creation of the new pipeline from the Microsoft sample pipeline: Recommendation - Movie Rating Tweets.
- Attach the created compute.
- Create a new experiment.
- Submit the pipeline.
- Find the Recommendations once the pipeline has completed successfully.
What's a lab?
Hands-on Labs are real environments created by industry experts to help you learn. These environments help you gain knowledge and experience, practice without compromising your system, test without risk, destroy without fear, and let you learn from your mistakes. Hands-on Labs: practice your skills before delivering in the real world.