- [Instructor] We are going to continue … to work with our sample app. … To do this, we're going to open up … the visual recognition view model and scroll down, … and we'll find the method called GetTreeTypeAsync. … And right now it's just returning that … we're not sure what it is, … and we're going to replace that with a call … to our Watson Visual Recognition service. … So the first thing we want to do … is create a URL variable for the end point to the service. … We can get that URL out of the Watson portal. … So we're going to open up our visual recognition service. … Right here we can see the client URL. … So I'm going to copy that into the clipboard. … If you want more information about the API … you can click on this API reference button … and it will show you all the details … of what we're about to call. … I'm going to paste that in and from the API reference … we know that we need to do version three of the API. … The method we're going to call is classify … and the version is = to 2018-03-19. …
- 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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