Introduction
As a data scientist, you can train machine learning models on your local device. For large-scale projects, a single local device can limit you to efficiently train machine learning models. When you use cloud compute for machine learning workloads, you're ready to scale your work when needed.
In Azure Machine Learning, you can use various types of managed cloud computes. By using any of the compute options in the Azure Machine Learning workspace, you can save time on managing compute.
Whether you're working in notebooks during experimentation, or need to run scripts for production, Azure Machine Learning compute helps you run your workloads at scale.