- [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
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
- Mark as unwatched
- Mark all as unwatched
Are you sure you want to mark all the videos in this course as unwatched?
This will not affect your course history, your reports, or your certificates of completion for this course.Cancel
Take notes with your new membership!
Type in the entry box, then click Enter to save your note.
1:30Press on any video thumbnail to jump immediately to the timecode shown.
Notes are saved with you account but can also be exported as plain text, MS Word, PDF, Google Doc, or Evernote.