From the course: Machine Learning in Mobile Applications
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Language Understanding: Setup
From the course: Machine Learning in Mobile Applications
Language Understanding: Setup
To start using Microsoft's machine learning services, we need to be in the Azure portal as I am here. We're going to begin with Azure's version of natural language understanding called Conversational Language Understanding, or CLU. We can easily create this in the Azure portal. It will allow us to train our own models to understand the intent of the user. And we're going to start by going up to the hamburger menu in the upper left and go to All Resources and Create Resources. And we're going to select the category of AI + Machine Learning. And from this list we want to look for Language Service and press Create. We have a couple options here, like we do with Watson. We want to do a custom classification to learn the intent of the user's question with some custom training data. So Custom Text Classification is the second one. So we'll press Select. And then Continue To Create Our Resource. Under a subscription, we may need to create a new resource group. So I'll just hit this Create…
Contents
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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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