From the course: Azure AI: The Big Picture
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The basics of Azure machine learning - Azure Tutorial
From the course: Azure AI: The Big Picture
The basics of Azure machine learning
- [Instructor] Machine learning is a complex topic. In this video, we'll look at some general principles and how it works in Azure. Later in this chapter, we'll look at the Azure Machine Learning Studio, which is a nice way to visualize and manage your workflows. Now, what about Azure Machine Learning? It is a cloud-based service that allows developers and data scientists to build, train, and deploy machine learning models at scale. You can easily create and manage machine learning workflows from data prep to deployment all within the Azure platform. It provides a wide range of tools and services, including automated machine learning, deep learning, and reinforcement learning. To use Azure Machine Learning, you'll first need a workspace. The workspace is the central place where you view and manage all the artifacts and resources you create. If you don't have one, you can create a new workspace in the main section of the Azure portal. Next, you need a compute instance. Think of it as a…
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