From the course: Microsoft Azure AI Engineer Associate (AI-102) Cert Prep by Microsoft Press

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Configure services for optimal performance

Configure services for optimal performance

- [Tim] This brutalist diagram is my own work, and I wanted to make sure to go into whiteboard mode, and just teach you a little bit to make sure that we're on the same page here. So far in the course, we've looked at the Content Safety Service, and by name, I've introduced you to a whole bunch of other Azure AI Cognitive Services. There's also the capacity that if you have the human resources and the skills, you can train your own ML models in Azure Machine Learning. And so, machine learning is a technique that we can apply where we combine enormous volumes of data that we've feature engineered and cleansed and ETL'd, combine that with one or more statistical mathematical algorithms that look for different types of patterns in that data, the big compute in Microsoft Azure makes that not a problem at all. You see? What do you get when you combine data, big compute, and statistical algorithms? Hopefully, you're going to get an accurate prediction. It could be a regression problem…

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