From the course: Machine Learning in Mobile Applications
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Azure Machine Learning overview
From the course: Machine Learning in Mobile Applications
Azure Machine Learning overview
Microsoft's Azure is another full-service machine learning offering that tries to have something for everyone. From those who have never used machine learning and need something extremely simple, to more traditional R- and Python-based model creation for data scientists. Azure is a cloud offering, and as such, the Azure Machine Learning products are primarily server side. While some of the products have the ability to export models for client-side use, those scenarios don't always have first-class support. There is support for a wide variety of formats, tools, and platforms. The offerings work with REST services, and client libraries work on most platforms. Typical Azure fashion, there is a wide variety of services and they change frequently. It can be difficult to know what services to use and how to get started. Here are a few that we should know. First is what used to be known as Cognitive Services, but is now under the brand category of Azure AI services. This is a set of…
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Azure Machine Learning overview3m 12s
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Language Understanding: Setup2m 51s
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Language Understanding: Using Language Studio5m 10s
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Language Understanding: Train, deploy, and test2m 19s
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Custom Vision: Setup5m 33s
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Azure Machine Learning Studio: Setup3m 13s
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Azure Machine Learning Studio: Create a model2m 16s
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Azure Machine Learning Studio: Deploy and test a model4m 8s
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Install the SDK in a mobile app2m 33s
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Tie to Language Understanding7m 21s
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Tie to Custom Vision7m 22s
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Prepare Android and iOS apps to consume non-SSL endpoints6m 34s
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Tie to the Azure Machine Learning Studio model7m
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Running the app2m 32s
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Challenge: Create a custom Language Understanding model2m 39s
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Solution: Create a custom Language Understanding model4m 10s
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