- [Instructor] Creating a core ML model … is something we can now do in Xcode. … We can do this either using a JSON file or a CSV file. … If we look at our exercise files directory, … and under CoreMLCollateral … we see there's a file called natural language trainer, … and I'm going to click on that, right click, … and go copy, and paste that onto our desktop. … I'm going to close this up, and if we look at this file, … it's a simple JSON array with two values, … text and label, so the text is actually the utterance, … and the label is the classification we want to give it … or the intent. … So now we're gonnna go into Xcode, and we can do this … in a playground, so I'm going to get started … with a new playground. … And we want to make sure that we have MacOS selected … as the playground type, and we'll create a blank playground. … We'll hit next. … For the name of the playground, … we're going to call it Natural Language. … And press create. … And I'm going to delete what's already here, …
- 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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