From the course: Exam Tips: Microsoft Azure AI Fundamentals (AI-900)
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Classification models on Azure ML - Azure Tutorial
From the course: Exam Tips: Microsoft Azure AI Fundamentals (AI-900)
Classification models on Azure ML
- [Instructor] Okay so now that we have covered machine learning on a more theoretical basis, let's talk about Azure Machine Learning. Azure ML is Microsoft's cloud-based platform for machine learning, it's not the only one though. Microsoft also offers Databricks, which is meant for more experienced data scientists. But that one should not be the focus of the AI 900 exam. It allows you to create machine learning models with minimal amount of code. All you need to do is to drag and drop objects into canvas link then properly and configure the settings. That being said, you're still able to apply some sequel or Python code if needed. Once the models are ready, they can be deployed as a web service or IoT endpoints. Much like the endpoints that we have seen on the cognitive services chapters. Web Service endpoints can use Azure Container instances ACI, or Azure Kubernetes Service AKS, and IoT can use Docker containers.…
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