- [Instructor] With the intent set up in our LUIS app, … we are ready to import a list … of utterances to train our model. … Like our intents, we could type them in manually … through the portal, but it'd be much easier … for us to upload them all as one file. … Now, if you look under Exercise Files on the desktop … and go to Azure Collateral, … you'll see there's a file called … natural_language_trainer.json … I'm going to right click on that … and we're going to open it up with Text Edit. … And here we can see it's just a simple array … of two items, text and the text is the name … of the utterance or at least the text of the utterance. … And the other is the intent name and this ties it … to one of those intents we just created. … So this is the file we're going to use to … input our utterances into our LUIS Model. … So, to do this, we're going to go back to our terminal window. … So, in our terminal window, the easiest way … to put in this command is just to hit the up arrow … to get back the same command we used for our utterances. …
- Defining machine learning
- Training a machine learning model
- Comparing machine learning frameworks
- Using IBM Watson for mobile machine learning
- Using Azure Machine Learning for speech and image recognition
- Training Core ML models
- Comparing client-side and server-side models
Skill Level Beginner
Xamarin and Android Studio: Material Designwith Kevin Ford1h 47m Intermediate
Machine Learning for iOS Developerswith Brian Advent1h 25m Advanced
1. Introduction to Machine Learning
2. Server Models: IBM Watson
3. Server Models: Azure Machine Learning
4. Client Models: Core ML
5. Understanding the Offerings
Next steps1m 40s
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