From the course: Machine Learning in Mobile Applications
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Azure Machine Learning overview - Xamarin Tutorial
From the course: Machine Learning in Mobile Applications
Azure Machine Learning overview
- [Instructor] 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's 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. Also, the offerings work with REST services and client libraries that are provided for most platforms. In typical Azure fashion, there are 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 Cognitive Services, this is a set of pre-canned services for things like image recognition…
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Contents
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Azure Machine Learning overview2m 28s
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Language Understanding: Set up2m 51s
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Language Understanding: Intents4m 27s
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Language Understanding: Utterances4m 1s
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Custom Vision: Set up4m 25s
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Machine Learning Studio: Set up4m 46s
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Machine Learning Studio: Create model3m 53s
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Machine Learning Studio: Publish model3m 33s
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Install client SDK package2m 27s
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Client tie to LUIS5m 16s
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Client tie to Custom Vision model5m 24s
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Client tie to custom model4m 4s
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Client tie to custom model: Set up request6m 22s
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Client tie to custom model: Make the call8m 28s
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Run the clent app2m 12s
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