- [Instructor] There are two common ways that we can use … the IBM Watson services from within a .NET application. … Either by using one of the NuGet packages … or using the REST APIs directly. … I say using the REST APIs directly, … because the SDK components simply wrap the RESTful APIs. … The NuGet SDK packages tend to be easier to use … than calling the REST APIs directly. … However, there are features that are in the REST APIs … that the SDKs do not support. … For example, with visual recognition, the SDK only allows … an image that's passed as a file stream … or a URL to the image. … However, with the REST APIs, you can pass other … types of streams. … To show how to plug Watson into a Xamarin project, … we have a project template we can use. … So we're going to go up to exercise files … and click on ClientProjectStart, right-click and copy it. … We'll close the Finder window … and paste that folder onto the Desktop. … And we're going to rename it to WatsonProject. … And we'll open the folder up. …
- 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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