From the course: Azure AI Fundamentals (AI-900) Cert Prep: 2 Principles of Machine Learning on Azure

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Overview of the Azure AutoML

Overview of the Azure AutoML - Azure Tutorial

From the course: Azure AI Fundamentals (AI-900) Cert Prep: 2 Principles of Machine Learning on Azure

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Overview of the Azure AutoML

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- [Instructor] On this last chapter, let's explore the AutoML feature, which automates several time-consuming tasks related to model development. We'll also briefly discuss the options to deploy your Azure ML models into production. Microsoft is deeply committed to the democratization of AI, making that available for companies of various sizes and expertise levels. One of the best examples of this pledge is a relatively new feature called AutoML. You see, as much as you don't actually need to do much coding on Azure Machine Learning, as it's mostly a drag-and-drop interface, you still need to understand quite a bit about data science and take into consideration decisions, such as, what's the best algorithm that is going to be used for this model? Would that be a linear regression or decision forest? How do I scale or normalize this data set for best performance? And what are the best parameters to configure on this model?…

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